LOKI
[ICLR 2025 Spotlight] The official implementation of the paper “LOKI:A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models”
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최종 버전 다운로드 (.zip)- ancient-literature.png
- audio2.png
- details-selection.png
- explanation.png
- judgement.png
- medical.png
- music.png
- philosophy.png
- satellite.png
- selection.png
- singing.png
- deepseek[1]
- head-image.png
- main-image.jpg
- claude_config.yaml
- gemini_config.yaml
- gemini_gpt_config.yaml
- gpt_config.yaml
- gpt_mini_config.yaml
- idefics_config.yaml
- internvl2_26b_config.yaml
- internvl2_40b_config.yaml
- internvl2_76b_config.yaml
- internvl2_config.yaml
- llama_3_vision_config.yaml
- llava_next_config.yaml
- llava_next_interleave_config.yaml
- llava_next_video_hf_config.yaml
- llava_ov_72b_config.yaml
- longva_config.yaml
- longvila_config.yaml
- mantis_config.yaml
- minicpm_v2.6_config.yaml
- mistral_api_config.yaml
- mplug_owl_config.yaml
- phi_3.5_vision_config.yaml
- point_llm_config.yaml
- qwen2_vl_72b_config.yaml
- qwen2_vl_config.yaml
- qwen_api_config.yaml
- qwen_vl_api_config.yaml
- random_config.yaml
- vila_1.5_13b_config.yaml
- vila_1.5_40b_config.yaml
- xcomposer_2d5_config.yaml
- 3D_tf_loki.yaml
- image_tf_loki.yaml
- text_tf_loki.yaml
- video_mc_loki.yaml
- video_tf_loki.yaml
- multi_choice.json
- point_true_or_false.json
- true_or_false.json
- multi_choice.json
- open_ended_vqa.json
- true_or_false.json
- multi_choice.json
- true_or_false.json
- CogVideoX.jsonl
- CoNo.jsonl
- keling.jsonl
- keling_new.jsonl
- LaVie.jsonl
- Lumiere-new.jsonl
- Lumiere.jsonl
- open_sora.jsonl
- OpenAI_sora.jsonl
- Photorealistic Video Generation with Diffusion Models.jsonl
- pika.jsonl
- runway-new.jsonl
- runway.jsonl
- StreamingT2V.jsonl
- VideoCraft.jsonl
- VideoDrafter2.jsonl
- VideoTetris.jsonl
- ViDiT-Q.jsonl
- multi_choice.json
- true_or_false.json
- __init__.py
- model.py
- registry.py
- task.py
- __init__.py
- claude.py
- gemini.py
- idefics.py
- internvl2.py
- llama_3v.py
- llava_next.py
- llava_next_video_hf.py
- longva.py
- mantis.py
- minicpm_2_6.py
- mistral_api.py
- mplug_owl.py
- openai_api.py
- phi3_5_vision.py
- pointllm.py
- qwen_vl.py
- qwen_vl_api.py
- vila.py
- xcomposer2d5.py
- gpt_as_judge_utils.py
- __init__.py
- loki.py
- __init__.py
- utils.py
- .gitignore
- pyproject.toml
- README.md
- requirements.txt
- run.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/opendatalab/LOKI
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd LOKI
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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