VIEW2SPACE

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[ECCV 2026] VIEW2SPACE

VIEW2SPACE 최신버젼 다운로드

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<h1 align="center">VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations</h1>

<h2 align="center">Accepted to ECCV 2026 🚀 </h2>

## Motivation

> **Why VIEW2SPACE?**  
> A single glance is often insufficient for completing real-world tasks. Humans naturally integrate observations across sparse viewpoints to form a shared spatial understanding. Given heterogeneous views (e.g., robotic dog and drone), one can efficiently align what different agents observe and reason across sparse viewpoints.

## Announcement

VIEW2SPACE resources are publicly available.

- **Paper status:** Accepted to ECCV 2026 🚀
- **Hugging Face collection:** [`VIEW2SPACE`](https://huggingface.co/collections/Pokerme/view2space)
- **Testing set release:** [`view2space-v1`](https://huggingface.co/datasets/Pokerme/view2space-v1) ✅
- **Training data release:** [`view2space-train`](https://huggingface.co/datasets/Pokerme/view2space-train) ✅
- **Checkpoint release:** [`view2space_GCoT_4b_checkpoint`](https://huggingface.co/Pokerme/view2space_4b) ✅
- **Scene generation source release:** [`scene_generation_src`](./scene_generation_src/README.md) ✅

## Training Data Release

We have released the VIEW2SPACE training data on Hugging Face:
[`view2space-train`](https://huggingface.co/datasets/Pokerme/view2space-train).
The release includes grounded chain-of-thought supervision for multi-view
spatial reasoning, connecting sparse visual observations with step-by-step
spatial reasoning traces.

## Scene Generation

If you want to generate custom 3D scenes for VIEW2SPACE-style data collection,
please start from [`scene_generation_src`](./scene_generation_src/README.md).
The folder contains the Blender-based scene generation pipeline, including asset
preprocessing, preview rendering, configurable scene synthesis, and metadata
export.

## Quick Start

For public evaluation, start here:

- `src/README.md`
- `src/eval/run_all_subsets.sh`

Source code is organized by responsibility:

- `src/eval`: public evaluation entrypoints
- `src/train`: training launchers and preprocessing helpers
- `src`: shared prompt, message-building, and config files
- `scene_generation_src`: Blender-based 3D scene generation pipeline

## Citation

If you find VIEW2SPACE useful in your research, please cite:

```bibtex
@article{ke2026view2space,
  title={VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations},
  author={Ke, Fucai and Cai, Zhixi and Li, Boying and Chen, Long and Lin, Beibei and Wang, Weiqing and Haghighi, Pari Delir and Haffari, Gholamreza and Rezatofighi, Hamid},
  journal={arXiv preprint arXiv:2603.16506},
  year={2026}
}
```

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