TOIS25-Awesome-Composed-Image-Retrieval

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TOIS25-Awesome-Composed-Image-Retrieval

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Collection of Composed Image Retrieval (CIR) papers.

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> A curated collection of papers, datasets, and resources for **Composed Image Retrieval (CIR)**, serving as the companion repository for our survey:
>
> 📄 **A Comprehensive Survey on Composed Image Retrieval**
>
> [Xuemeng Song](https://xuemengsong.github.io/), [Haoqiang Lin](https://scholar.google.com/citations?user=AXeQY7EAAAAJ&hl=zh-CN), [Haokun Wen](https://haokunwen.github.io/), [Bohan Hou](https://github.com/hbhalpha), [Mingzhu Xu](https://scholar.google.com/citations?user=hqHm3bgAAAAJ&hl=zh-CN), [Liqiang Nie](https://liqiangnie.github.io/)
>
> *ACM Transactions on Information Systems (TOIS)*, Vol. 44, No. 1, Article 19, 2025
>
> [[Paper (ACM DL)]](https://dl.acm.org/doi/full/10.1145/3767328) | [[arXiv]](https://arxiv.org/abs/2502.18495)
 
## 🔥 Highlights
 
- **Systematic analysis** of 120+ seminal papers (2017–2025)
- **Unified evaluation** spanning ~10 benchmark datasets
- **Continuously updated** — PRs and issues are welcome!
 
## 📑 Table of Contents
- [1. Attribute-based CIR](#section1)  
- [2. Supervised CIR](#section2)    
- [3. Few-shot CIR](#section3)    
- [4. Zero-shot CIR](#section4)    
- [5. Semi-supervised CIR](#section5)    
- [6. Conversational CIR](#section6)    
- [7. Composed Video Retrieval (COVR)](#section7)    
- [8. Sketch-based CIR](#section8)    
- [9. Others](#section9)  
- [10. Dataset statistics](#section10)    
---

## 1. Attribute-based CIR<a id="section1"></a>
### 2023
- [1] **[CVPR'23] |** FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training. [[Paper]](https://openaccess.thecvf.com/content/CVPR2023/papers/Han_FashionSAP_Symbols_and_Attributes_Prompt_for_Fine-Grained_Fashion_Vision-Language_Pre-Training_CVPR_2023_paper.pdf)

### 2021
- [1] **[ICCV'21] |** Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval. [[Paper]](https://ieeexplore.ieee.org/document/9711479)
- [2] **[ICCV'21] |** Face Image Retrieval with Attribute Manipulation. [[Paper]](https://ieeexplore.ieee.org/document/9710728)
### 2020
- [1] **[SIGIR'20] |** Generative Attribute Manipulation Scheme for Flexible Fashion Search. [[Paper]](https://dl.acm.org/doi/10.1145/3397271.3401150)
### 2018
- [1] **[CVPR'18] |** Learning Attribute Representations with Localization for Flexible Fashion Search. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578902)
- [2] **[WACV'18] |** Efficient Multi-Attribute Similarity Learning Towards Attribute-based Fashion Search. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354290)
### 2017
- [1] **[CVPR'17] |** Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100135)

## 2. Supervised CIR<a id="section2"></a>
### Pre-prints
- [1] **[Arxiv'25] |** DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2505.17796)    
- [2] **[Arxiv'25] |** TMCIR: Token Merge Benefits Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2504.10995)     
- [3] **[Arxiv'25] |** FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2503.21309)    
- [4] **[Arxiv'24] |** VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval. [[Paper]](https://arxiv.org/abs/2406.04292)    
- [5] **[Arxiv'23] |** Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval. [[Paper]](https://arxiv.org/abs/2306.02092)     
- [6] **[Arxiv'23] |** Ranking-aware Uncertainty for Text-guided Image Retrieval. [[Paper]](https://arxiv.org/abs/2308.08131)     
- [7] **[Arxiv'23] |** Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2308.16649)

### 2026   
- [1] **[TMM'26] |** Joint Attribute Graph Reasoning and Aggregation for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/11373564)     
- [2] **[AAAI'26] |** INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39181)
- [3] **[ACL Findings'26] |** CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2601.03728)[[Code]](https://github.com/qzp2018/CSMCIR)
- [4] **[CVPR'26] |** FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/41064)
- [5] **[CVPR'26] |** Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/38798)
- [6] **[CVPR'26] |** Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/36197)
- [7] **[CVPR'26] |** ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/37827)
- [8] **[CVPR'26] |** PinPoint: Evaluation of Composed Image Retrieval with Explicit Negatives, Multi-Image Queries, and Paraphrase Testing. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/39850)
- [9] **[CVPR'26] |** ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/36399)

### 2025
- [1] **[AAAI'25] |** Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2412.11087)
- [2] **[AAAI'25] |** ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval.[[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/32541/34696)
- [3] **[CVPR'25] |** CCIN: Compositional Conflict Identification and Neutralization for Composed Image Retrieval. [[Paper]](https://www.researchgate.net/profile/Jian-Zhao-48/publication/390113383_CCIN_Compositional_Conflict_Identification_and_Neutralization_for_Composed_Image_Retrieval/links/67e0aaa83ad6d174c4ba8412/CCIN-Compositional-Conflict-Identification-and-Neutralization-for-Composed-Image-Retrieval.pdf)
- [4] **[CVPR'25] |** ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2505.20764)    
- [5] **[CVPR'25] |** CoLLM: A Large Language Model for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2503.19910)
- [6] **[CVPR'25] |** Learning with Noisy Triplet Correspondence for Composed Image Retrieval.     
- [7] **[ICASSP'25] |** MEDIAN: Adaptive Intermediate-grained Aggregation Network for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10890642)     
- [8] **[ICASSP'25] |** PAIR: Complementarity-guided Disentanglement for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10888153)    
- [9] **[ICASSP'25] |** NCL-CIR: Noise-aware Contrastive Learning for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10888719)    
- [10] **[ICCV'25] |** Multi-Schema Proximity Network for Composed Image Retrieval. [[Paper]](https://iccv.thecvf.com/virtual/2025/poster/1574)    
- [11] **[ICCV'25] |** MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval. [[Paper]](https://iccv.thecvf.com/virtual/2025/poster/2532)
- [12] **[ACL'25] |** Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings. [[Paper]](https://aclanthology.org/2025.acl-long.61.pdf)
- [13] **[ACM MM'25] |** OFFSET: Segmentation-based Focus Shift Revision for Composed Image Retrieval.
- [14] **[NeurIPS'25] |** Towards Robust Uncertainty Calibration for Composed Image Retrieval. [[Paper]](https://openreview.net/pdf?id=LSS6JMvgha)
- [15] **[TMM'25] |** Scale Up Composed Image Retrieval Learning via Modification Text Generation. [[Paper]](https://arxiv.org/pdf/2504.05316)
- [16] **[AAAI'25] |** VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. [[Paper]](https://arxiv.org/abs/2312.12273)
- [17] **[ICML'25] |** QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.5555/3780338.3781598)         
- [18] **[IJCNN'25] |** HADFF: Composed Image Retrieval Based on Hybrid-Attention and Dynamic Feature Fusion. [[Paper]](https://ieeexplore.ieee.org/document/11227555)

### 2024
- [1] **[WACV'24] |** Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10484044)  
- [2] **[TOMM'24] |** Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3639469)
- [3] **[TOMM'24] |** SPIRIT: Style-guided Patch Interaction for Fashion Image Retrieval with Text Feedback. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3640345)
- [4] **[TPAMI'24] |** Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/document/10373096)
- [5] **[AAAI'24] |** Dynamic Weighted Combiner for Mixed-Modal Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/28004/28023)
- [6] **[AAAI'24] |** Data Roaming and Quality Assessment for Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/28081/28168)
- [7] **[AAAI'24] |** FashionERN Enhance-and-Refine Network for Composed Fashion Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/download/27885/27795)
- [8] **[AAAI'24] |** Decomposing Semantic Shifts for Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/28479/28933)
- [9] **[SIGIR'24] |** Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3626772.3657727)
- [10] **[SIGIR'24] |** CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval. [[Paper]](https://export.arxiv.org/abs/2405.19149)
- [11] **[CVPR'24] |** SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining. [[Paper]](https://arxiv.org/pdf/2404.01156)
- [12] **[ICLR'24] |** Sentence-level Prompts Benefit Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2310.05473)
- [13] **[ICLR'24] |** Composed Image Retrieval with Text Feedback via Multi-Grained Uncertainty Regularization. [[Paper]](https://arxiv.org/pdf/2211.07394v5)
- [14] **[TMLR'24] |** Candidate Set Re-ranking for Composed Image Retrieval with Dual Multimodal Encoder. [[Paper]](https://arxiv.org/abs/2305.16304)
- [15] **[TCSVT'24] |** Set of Diverse Queries with Uncertainty Regularization for Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10530361)
- [16] **[ICMR'24] |** CLIP-ProbCR:CLIP-based Probability embedding Combination Retrieval. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3652583.3657611)
- [17] **[TMM'24] |** Align and Retrieve: Composition and Decomposition Learning in Image Retrieval with Text Feedback. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10568424)
- [18] **[KBS'24] |** Collaborative Group: Composed Image Retrieval via Consensus Learning From Noisy Annotations. [[Paper]](https://www.sciencedirect.com/science/article/pii/S095070512400769X?via%3Dihub)
- [19] **[TIP'24] |** Multimodal Composition Example Mining for Composed Query Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10418785)
- [20] **[TOIS'24] |** LLM-enhanced Composed Image Retrieval: An Intent Uncertainty-aware Linguistic-Visual Dual Channel Matching Model. [[Paper]](https://dl.acm.org/doi/pdf/10.1145/3699715)
- [21] **[ACM MM'24] |** Semantic Distillation from Neighborhood for Composed Image Retrieval. [[Paper]](https://openreview.net/pdf?id=MAgFiw3yHG)
- [22] **[ACM MM'24] |** Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. [[Paper]](dl.acm.org/doi/10.1145/3664647.3680808)
- [23] **[NeurIPS'24] |** Easy Regional Contrastive Learning of Expressive Fashion Representations. [[Paper]](https://openreview.net/forum?id=bCL9U2X9Jg)
- [24] **[ACL'24] |** UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation. [[Paper]](https://arxiv.org/pdf/2408.11305)

### 2023
- [1] **[TOMM'23] |** AMC: Adaptive Multi-expert Collaborative Network for Text-guided Image Retrieval. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3584703)
- [2] **[TMM'23] |** Multi-Modal Transformer With Global-Local Alignment for Composed Query Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/document/10012544)
- [3] **[WACV'23] |** Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning. [[Paper]](https://ieeexplore.ieee.org/document/10030891)
- [4] **[ICMR'23] |** Dual-Path Semantic Construction Network for Composed Query-Based Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3591106.3592245)
- [5] **[TCSVT'23] |** Multi-Grained Attention Network With Mutual Exclusion for Composed Query-Based Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10225420)
- [6] **[TOMM'23] |** Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features. [[Paper]](https://dl.acm.org/doi/10.1145/3617597)
- [7] **[ICME'23] |** Visual-Linguistic Alignment and Composition for Image Retrieval with Text Feedback. [[Paper]](https://ieeexplore.ieee.org/document/10219821)
- [8] **[TIP'23] |** Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer. [[Paper]](https://ieeexplore.ieee.org/document/10205526)
- [9] **[MM'23] |** Target-Guided Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3581783.3611817)
- [10] **[CVPR'23] |** FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. [[Paper]](https://openaccess.thecvf.com/content/CVPR2023/papers/Han_FAME-ViL_Multi-Tasking_Vision-Language_Model_for_Heterogeneous_Fashion_Tasks_CVPR_2023_paper.pdf)
- [11] **[ICCVW'23] |** ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. [[Paper]](https://ieeexplore.ieee.org/document/10350916)
- [12] **[NeurIPSW'23] |** NEUCORE: Neural Concept Reasoning for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2310.01358)
- [13] **[NeurIPSW'23] |** Benchmarking Robustness of Text-Image Composed Retrieval. [[Paper]](https://suntongtongtong.github.io/benchmarking_robustness.pdf)
- [13] **[MMW'23] |** Fashion-GPT: Integrating LLMs with Fashion Retrieval System. [[Paper]](https://dl.acm.org/doi/10.1145/3607827.3616844)

### 2022
- [1] **[ICLR'22] |** ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. [[Paper]](https://openreview.net/forum?id=CVfLvQq9gLo)[[Arxiv]](https://arxiv.org/abs/2203.08101)
- [2] **[TOMM'22] |** Tell, Imagine, and Search: End-to-end Learning for Composing Text and Image to Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3478642)
- [3] **[TIP'22] |** Geometry Sensitive Cross-Modal Reasoning for Composed Query Based Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/document/9667308)
- [4] **[TIP'22] |** Composed Image Retrieval via Explicit Erasure and Replenishment With Semantic Alignment. [[Paper]](https://ieeexplore.ieee.org/document/9887834)
- [5] **[WACV'22] |** SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. [[Paper]](https://openaccess.thecvf.com/content/WACV2022/html/Jandial_SAC_Semantic_Attention_Composition_for_Text-Conditioned_Image_Retrieval_WACV_2022_paper.html)
- [6] **[SIGIR'22] |** Progressive Learning for Image Retrieval with Hybrid-Modality Queries. [[Paper]](https://dl.acm.org/doi/10.1145/3477495.3532047)
- [7] **[CVPR'22] |** Effective Conditioned and Composed Image Retrieval Combining CLIP-based Features. [[Paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Baldrati_Effective_Conditioned_and_Composed_Image_Retrieval_Combining_CLIP-Based_Features_CVPR_2022_paper.pdf)
- [8] **[CVPR'22] |** FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback. [[Paper]](https://ieeexplore.ieee.org/document/9879706)
- [9] **[TMM'22] |** Enhance Composed Image Retrieval via Multi-Level Collaborative Localization and Semantic Activeness Perception. [[Paper]](https://ieeexplore.ieee.org/document/10120671)
- [10] **[TMM'22] |** Adversarial and Isotropic Gradient Augmentation for Image Retrieval With Text Feedback. [[Paper]](https://ieeexplore.ieee.org/abstract/document/9953564/authors#authors)
- [11] **[EMNLP'22] |** FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. [[Paper]](https://aclanthology.org/2022.emnlp-main.716/)
- [12] **[ECCV'22] |** FashionViL: Fashion-Focused Vision-and-Language Representation Learning. [[Paper]](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136950629.pdf)

### 2021
- [1] **[ICCV'21] |** Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. [[Paper]](https://ieeexplore.ieee.org/document/9710082/citations#citations)[[Arxiv]](https://arxiv.org/abs/2108.04024)
- [2] **[CVPR'21] |** CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback. [[Paper]](https://ieeexplore.ieee.org/document/9577437)
- [3] **[WACV'21] |** Compositional Learning of Image-Text Query for Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/document/9423122)
- [4] **[MM'21] |** Heterogeneous Feature Fusion and Cross-modal Alignment for Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3474085.3475659)
- [5] **[MM'21] |** Cross-modal Joint Prediction and Alignment for Composed Query Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3474085.3475483)
- [6] **[MM'21] |** Image Retrieval with Text Feedback by Deep Hierarchical Attention Mutual Information Maximization. [[Paper]](https://dl.acm.org/doi/pdf/10.1145/3474085.3475619)
- [7] **[AAAI'21] |** Dual Compositional Learning in Interactive Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/16271)
- [8] **[SIGIR'21] |** Comprehensive Linguistic-Visual Composition Network for Image Retrieval. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3404835.3462967)
  
### 2020
- [1] **[CVPR'20] |** Image Search With Text Feedback by Visiolinguistic Attention Learning. [[Paper]](https://ieeexplore.ieee.org/document/9157634)
- [2] **[MM'20] |** Joint Attribute Manipulation and Modality Alignment Learning for Composing Text and Image to Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3394171.3413917)
- [3] **[ECCV'20] |** Learning Joint Visual Semantic Matching Embeddings for Language-Guided Retrieval. [[Paper]](https://link.springer.com/content/pdf/10.1007/978-3-030-58542-6_9.pdf?pdf=inline%20link)
- [4] **[CVPR'20] |** Composed Query Image Retrieval Using Locally Bounded Features. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9157125)
### 2019
- [1] **[CVPR'19] |** Composing Text and Image for Image Retrieval - an Empirical Odyssey. [[Paper]](https://ieeexplore.ieee.org/document/8953387)[[Arxiv]](https://arxiv.org/abs/1812.07119)

## 3. Few-Shot CIR<a id="section3"></a>
### Pre-prints
- [1] **[Arxiv'24] |** Pseudo Triplet Guided Few-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2407.06001)

### 2026
- [1] **[CVPR'26] |** Adapting In-context Generation for Enhanced Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/39552)

### 2023
- [1] **[AAAI'23] |** Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/25597/25369)

## 4. Zero-Shot CIR<a id="section4"></a>    
### Pre-prints    
- [1] **[Arxiv'25] |** MLLM-Guided VLMFine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2505.19707)    
- [2] **[Arxiv'25] |** Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2505.19952)    
- [3] **[Arxiv'25] |** From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2504.17990)    
- [4] **[Arxiv'25] |** Data-Efficient Generalization for Zero-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2503.05204)    
- [5] **[Arxiv'25] |** SCOT: Self-Supervised Contrastive Pretraining For Zero-Shot Compositional Retrieval. [[Paper]](https://arxiv.org/pdf/2501.08347v1)    
- [6] **[Arxiv'24] |** MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2410.23736)    
- [7] **[Arxiv'24] |** Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs. [[Paper]](https://arxiv.org/abs/2406.18836)    
- [8] **[Arxiv'24] |** Training-free Zero-shot Composed Image Retrieval with Local Concept Re-ranking. [[Paper]](https://arxiv.org/abs/2312.08924)    
- [9] **[Arxiv'24] |** HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels. [[Paper]](https://arxiv.org/abs/2407.05795)    
- [10] **[Arxiv'24] |** Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity. [[Paper]](https://arxiv.org/abs/2409.04918)      
- [11] **[Arxiv'24] |** Composed Image Retrieval for Training-Free Domain Conversion. [[Paper]](https://arxiv.org/pdf/2412.03297)    
- [12] **[Arxiv'24] |** Compositional Image Retrieval via Instruction-Aware Contrastive Learning. [[Paper]](https://arxiv.org/pdf/2412.05756)    
- [13] **[Arxiv'24] |** MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval. [[Paper]](https://arxiv.org/pdf/2412.14475)    
- [14] **[Arxiv'24] |** Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2410.17393)    
- [15] **[Arxiv'23] |** Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2311.07622)

### 2026   
- [1] **[AAAI'26] |** Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/37534)    
- [2] **[AAAI'26] |** Duplex Rewards Optimization for Test-Time Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/38369)
- [3] **[WACV'26] |** PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval [[Paper]](https://openaccess.thecvf.com/content/WACV2026/papers/Tursun_PDV_Prompt_Directional_Vectors_for_Zero-shot_Composed_Image_Retrieval_WACV_2026_paper.pdf)
- [4] **[CVPR'26] |** Optimizing Certified Radius of Zero-shot Composed Image Retrieval via Text Guidance. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/40594)
- [5] **[CVPR'26] |** Self-guided Semantic Inspection for Zero-Shot Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/38299)
- [6] **[CVPR'26] |** G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/37026)
- [7] **[CVPR'26] |** STiTch: Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/39753)
- [8] **[CVPR'26] |** WISER: Wider Search, Deeper Thinking, and Adaptive Fusion for Training-Free Zero-Shot Composed Image Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/37052)

### 2025   
- [1] **[COLING'25] |** MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval. [[Paper]](https://aclanthology.org/2025.coling-main.125.pdf)
- [2] **[CVPR'25] |** Generative Zero-Shot Composed Image Retrieval.[[Paper]](https://hal.cse.msu.edu/assets/pdfs/papers/2025-cvpr-cig-generative-zero-shot-composed-image-retrieval.pdf)
- [3] **[CVPR'25] |** Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval.[[Paper]](https://arxiv.org/pdf/2503.17109?)
- [4] **[CVPR'25] |** Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2412.11077)
- [5] **[CVPR'25] |** Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy. [[Paper]](https://arxiv.org/pdf/2411.16752)   
- [6] **[WACV'25] |** Composed Image Retrieval for Training-Free Domain Conversion. [[Paper]](https://arxiv.org/abs/2412.03297)
- [7] **[SIGIR'25] |** Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware Perspective. [[Paper]](https://dl.acm.org/doi/epdf/10.1145/3726302.3730074)    
- [8] **[ICCV'25] |** CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2502.20826)    
- [9] **[ICCV'25] |** Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval. [[Paper]](https://iccv.thecvf.com/virtual/2025/poster/336)
- [10] **[ICCV'25] |** An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2406.09188)
- [11] **[ICCV'25] |** Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation. [[Paper]](https://iccv.thecvf.com/virtual/2025/poster/1828)
- [12] **[KDD'25] |*** Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration. [[Paper]](https://dl.acm.org/doi/10.1145/3711896.3736982)        
- [13] **[NeruIPS'25] |** Instance-Level Composed Image Retrieval. [[Paper]](https://neurips.cc/virtual/2025/loc/san-diego/poster/119710)
- [14] **[TPAMI'25] |** iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/11098979)
- [15] **[IJCNN'25] |** Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data. [[Paper]](https://arxiv.org/pdf/2504.00812)

### 2024
- [1] **[AAAI'24] |** Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/28324)
- [2] **[ICLR'24] |** Vision-by-Language for Training-Free Compositional Image Retrieval. [[Paper]](https://openreview.net/forum?id=EDPxCjXzSb)
- [3] **[CVPR'24] |** LinCIR: Language-only Training of Zero-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2312.01998)
- [4] **[CVPR'24] |** Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2403.16005)
- [5] **[SIGIR'24] |** Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3626772.3657831)
- [6] **[SIGIR'24] |** LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/10.1145/3626772.3657740)
- [7] **[ICML'24] |** Improve Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning. [[Paper]](https://openreview.net/forum?id=Nm6jYZsBum)
- [8] **[ICML'24] |** MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. [[Paper]](https://arxiv.org/abs/2403.19651)
- [9] **[TMLR'24] |** CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. [[Paper]](https://openreview.net/forum?id=mKtlzW0bWc)
- [10] **[ACM MM'24] |**  Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval. [[Paper]](https://openreview.net/pdf?id=rkCYgXfj9P)
- [11] **[ECCV'24] |** Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval. [[Paper]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/02904.pdf)
- [12] **[ACML'24] |** Prompting Vision-Language Fusion for Zero-Shot Composed Image Retrieval. [[Paper]](https://openreview.net/forum?id=8NM3qmWjkt)

### 2023
- [1] **[ICCV'23] |** Zero-shot Composed Image Retrieval with Textual Inversion. [[Paper]](https://openaccess.thecvf.com/content/ICCV2023/html/Baldrati_Zero-Shot_Composed_Image_Retrieval_with_Textual_Inversion_ICCV_2023_paper.html)
- [2] **[CVPR'23] |** Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. [[Paper]](https://openaccess.thecvf.com/content/CVPR2023/papers/Saito_Pic2Word_Mapping_Pictures_to_Words_for_Zero-Shot_Composed_Image_Retrieval_CVPR_2023_paper.pdf)
- [3] **[BMVC'23] |** Zero-shot Composed Text-Image Retrieval. [[Paper]](https://proceedings.bmvc2023.org/381/)

## 5. Semi-supervised CIR<a id="section5"></a>
### 2024
- [1] **[CVPR'24] |** Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval. [[Paper]](https://arxiv.org/abs/2404.15516)

## 6. Conversational CIR<a id="section6"></a>
### Pre-prints
- [1] **[Arxiv'24] |** Leveraging Large Language Models for Multimodal Search. [[Paper]](https://arxiv.org/html/2404.15790v1)

### 2025  
- [1] **[ICLR'25] |** MAI: A Multi-Turn Aggregation-Iteration Model for Composed Image Retrieval. [[Paper]](https://openreview.net/pdf?id=gXyWbl71n1)
- [2] **[WWW'25] |** ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. [[Paper]](https://arxiv.org/abs/2503.10166) [[Code]](https://github.com/pengfei-luo/ImageScope)

### 2023
- [1] **[ICCV'23] |** FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. [[Paper]](https://openaccess.thecvf.com/content/ICCV2023/html/Pal_FashionNTM_Multi-turn_Fashion_Image_Retrieval_via_Cascaded_Memory_ICCV_2023_paper.html)
- [2] **[MM'23] |** Conversational Composed Retrieval with Iterative Sequence Refinement. [[Paper]](https://dl.acm.org/doi/10.1145/3581783.3611885)
- [3] **[MMW'23] |** Fashion-GPT: Integrating LLMs with Fashion Retrieval System. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3607827.3616844)

### 2021
- [1] **[SIGIR'21] |** Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. [[Paper]](https://dl.acm.org/doi/abs/10.1145/3404835.3462881)

### 2018
- [1] **[NeruIPS'18] |** Dialog-based interactive image retrieval. [[Paper]](https://dl.acm.org/doi/10.5555/3326943.3327006)

## 7. COVR<a id="section7"></a>   
### 2026    
- [1] **[AAAI'26] |** ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39507)    
- [2] **[ICLR'26] |** OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text. [[Paper]](https://iclr.cc/virtual/2026/poster/10010075)
- [3] **[CVPR'26] |** Compositional Transformation Reasoning for Composed Video Retrieval. [[Paper]](https://cvpr.thecvf.com/virtual/2026/poster/39928)

### 2025
- [1] **[CVPR'25] |** Localizing Events in Videos with Multimodal Queries. [[Paper]](https://arxiv.org/abs/2406.10079)   
- [2] **[ICLR'25] |** Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval. [[Paper]](https://openreview.net/forum?id=wGa2plE8ka)    
- [3] **[ACM MM'25] |** HUD: Hierarchical Uncertainty-Aware Disambiguation Network for Composed Video Retrieval.    
- [4] **[ICCV'25] |** Beyond Simple Edits: Composed Video Retrieval with Dense Modifications.    
- [5] **[NeurIPS'25] |** From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos. [[Paper]](https://arxiv.org/pdf/2506.05274)

### 2024
- [1] **[AAAI'24] |** CoVR: Learning Composed Video Retrieval from Web Video Captions. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/28334)
- [2] **[CVPR'24] |** Composed Video Retrieval via Enriched Context and Discriminative Embeddings. [[Paper]](https://arxiv.org/abs/2403.16997)
- [3] **[TPAMI'24] |** CoVR-2: Automatic Data Construction for Composed Video Retrieval. [[Paper]](https://ieeexplore.ieee.org/abstract/document/10685001)
- [4] **[ECCV'24] |** EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. [[Paper]](https://arxiv.org/abs/2407.16658)

## 8. Sketch-based CIR<a id="section8"></a>
### 2024
- [1] **[AAAI'24] |** Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/27956)
- [2] **[CVPR'24] |** You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. [[Paper]](https://arxiv.org/abs/2403.07222)

## 9. Others<a id="section9"></a>
### Person Retrieval
- [1] **[NeurIPS'25] |** Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval. [[Paper]](https://arxiv.org/pdf/2311.16515)    
- [2] **[Arxiv'24] |** Word4Per: Zero-shot Composed Person Retrieval. [[Paper]](https://arxiv.org/html/2311.16515v3)

### Composed Pose Retrieval  
- [1] **[ICCV'25] |** AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs. [[Paper]](https://arxiv.org/pdf/2503.22884)

### Remote Sensing Retrieval
- [1] **[Arxiv'26] |** Benchmarking Composed Image Retrieval for Applied Earth Observation [[Paper]](https://arxiv.org/pdf/2605.24442)
- [2] **[IJCAI'25] |** PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing. [[Paper]](https://www.ijcai.org/proceedings/2025/171)        
- [3] **[TGRS'25] |** Language-Empowered Conversion for Remote Sensing Image Retrieval With Text Feedback. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010086&tag=1)    
- [4] **[IGARSS'24] |** Composed Image Retrieval for Remote Sensing. [[Paper]](https://arxiv.org/abs/2405.15587)    
- [5] **[TGRS'24] |** Scene Graph-Aware Hierarchical Fusion Network for Remote Sensing Image Retrieval With Text Feedback. [[Paper]](https://ieeexplore.ieee.org/document/10537211)

### Survey  
- 🎯 **[TOIS'25] |** **A Comprehensive Survey on Composed Image Retrieval.** [[Paper]](https://arxiv.org/pdf/2502.18495)
- [2] **[Arxiv'25] |** Composed Multi-modal Retrieval: A Survey of Approaches and Applications. [[Paper]](https://arxiv.org/pdf/2503.01334)
- [3] **[Applied Intelligence'25] |** Composed Image Retrieval: A Survey on Recent Research and Development. [[Paper]](https://link.springer.com/article/10.1007/s10489-025-06372-x)
- [4] **[TOMM'25] |** A Survey on Composed Image Retrieval. [[Paper]](https://dl.acm.org/doi/pdf/10.1145/3723879)    
- [5] **[Arxiv'24] |** A Survey of Multimodal Composite Editing and Retrieval. [[Paper]](https://arxiv.org/abs/2409.05405)

### Emerging Datasets      
- [1] **[SIGIR'26] |** A Sketch+Text Composed Image Retrieval Dataset for Thangka. [[Paper]](https://arxiv.org/pdf/2602.08411)     
- [2] **[Arxiv'26] |** FashionMV: Product-Level Composed Image Retrieval with Multi-View Fashion Data. [[Paper]](https://arxiv.org/abs/2604.10297)    
- [3] **[CVPRW'25] |** good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. [[Paper]](https://arxiv.org/pdf/2503.17871)    
- [4] **[Pattern Recognition'25] |** ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval. [[Paper]](https://arxiv.org/pdf/2410.18715)      
- [5] **[Arxiv'24] |** EUFCC-CIR: a Composed Image Retrieval Dataset for GLAM Collections. [[Paper]](https://arxiv.org/pdf/2410.01536v2)

## 10. Dataset statistics<a id="section10"></a>
| **Dataset**                                      | **Modalities**    | **Images Scale** | **Triplets Scale** | **Type**           | **Link**                    | **Domain** |
| ------------------------------------------------ | ----------------- | ---------------- | ------------------ | ------------------ | --------------------------- | ---------- |
| FashionIQ                       | Image+Text        | ~77.7K           | ~30.1K             | Human Annotated    | [Link](https://github.com/XiaoxiaoGuo/fashion-iq) | Fashion    |
| Refined-FashionIQ                       | Image+Text        | ~8.1K           | ~5.5K             | Automatic Refined    | [Link](https://huggingface.co/datasets/chuonghm/Refined-FashionIQ) | Fashion    |
| Shoes                       | Image+Text        | ~14.7K           | ~10.8K             | Human Annotated    | [Link](https://github.com/XiaoxiaoGuo/fashion-retrieval) | Fashion    |
| Fashion200K               | Image+Text        | ~200K            | --                 | --                 | [Link](https://www.kaggle.com/datasets/mayukh18/fashion200k-dataset) | Fashion    |
| MIT                       | Image+Text        | ~6K              | --                 | --                 | [Link](https://web.mit.edu/phillipi/Public/states_and_transformations/index.html) | Open-domain    |
| CIRR                      | Image+Text        | ~21.6K           | ~36.6K             | Human Annotated    | [Link](https://cuberick-orion.github.io/CIRR/) | Open-domain    |
| Refined-CIRR                      | Image+Text        | ~2.2K           | ~3.9K             | Automatic Refined    | [Link](https://huggingface.co/datasets/chuonghm/Refined-CIRR) | Open-domain    |
| CIRCO                  | Image+Text        | ~12.3K          | ~1.0K                  | Human Annotated    | [Link](https://github.com/miccunifi/CIRCO/tree/main) | Open-domain    |
| CSS                           | Image+Text        | ~1.0K            | ~32K               | Generated          | [Link](https://github.com/google/tirg) | Open-domain    |
| LaSCo                       | Image+Text        | ~121.5K          | ~389.3K            | Generated          | [Link](https://github.com/levymsn/LaSCo?tab=readme-ov-file#lasco-dataset) | Open-domain    |
| MT-CIR                       | Image+Text        | ~423K          | ~17.7M            | Generated          | [Link](https://huggingface.co/datasets/chuonghm/MT-CIR) | Open-domain    |
| SynthTriplets18M              | Image+Text        | --               | ~18M               | Generated          | [Link](https://github.com/navervision/CompoDiff) | Open-domain    |
| WebVid-CoVR              | Video+Text        | ~130.8K          | ~1.6M              | Generated          | [Link](https://imagine.enpc.fr/~ventural/covr/) | Video      |
| ITCPR                        | Image+Text        | ~20K             | ~12.2K             | Human Annotated    | [Link](https://github.com/Delong-liu-bupt/Word4Per) | Person    |
| Airplane, Tennis, and WHIRT | Image+Text        | ~7.7K            | ~8.7K              | Human Annotated    | - |    Remote Sensing  |
| PatternCom               | Image+Text        | ~30K             | ~21K               | Human Annotated          | [Link](https://github.com/billpsomas/rscir) | Remote Sensing   |
| FS-COCO               | Sketch+Image+Text | ~10K             | ~10K               | Human Annotated    | [Link](https://github.com/pinakinathc/fscoco) | Sketch        |
| SketchyCOCO             | Sketch+Image+Text | ~14K             | ~14K               | Automatic matching | [Link](https://github.com/sysu-imsl/SketchyCOCO) | Sketch |
| CSTBIR                    | Sketch+Image+Text | ~108K            | ~2M                | Automatic matching | [Link](https://vl2g.github.io/projects/cstbir/) |  Sketch       |
| ImageNet-R                |Image+Cart+Toy+Orig+Sculpt | ~17.9K | -- | -- | [Link](https://people.eecs.berkeley.edu/~hendrycks/imagenet-r.tar) | Domain Conversion |
| Mini-DomainNet            |Clip+Paint+Image+Sketch | ~137K | -- | -- | [Link](https://github.com/NikosEfth/freedom) | Domain Conversion |
| NICO++                |Aut+Dim+Grass+Out+Rock+Water | ~80K | -- | -- | [Link](https://github.com/NikosEfth/freedom) | Domain Conversion |
| LTLL                |Today+Archive | 488 | -- | -- | [Link](https://github.com/NikosEfth/freedom) | Instance Level Domain Conversion |
| i-CIR                |Image+Text | ~750K | ~13.5K | Human Annotated | [Link](https://github.com/billpsomas/icir) | Art, Landmark, Fictional, Mobility, Fashion, Product, Household, Tech |

---
If you find this repository helpful, please consider citing our survey and giving this repo a ⭐.
 
```bibtex
@article{cirsurvey,
  title = {A Comprehensive Survey on Composed Image Retrieval},
  author = {Song, Xuemeng and Lin, Haoqiang and Wen, Haokun and Hou, Bohan and Xu, Mingzhu and Nie, Liqiang},
  journal = {ACM Transactions on Information Systems},
  volume = {44},
  number = {1},
  pages = {19:1--19:54},
  year = {2026},
  publisher = {ACM}
}
```

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