awesome-diffusion-v2v
Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.
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- .keep
- install.sh
- leaderboard.md
- README.md
- __init__.py
- conv_backbone.py
- evaluator.py
- head.py
- swin_backbone.py
- __init__.py
- config.yaml
- dataset.py
- __init__.py
- backbone.py
- geometry.py
- gmflow.py
- matching.py
- position.py
- transformer.py
- trident_conv.py
- utils.py
- config.yaml
- utils.py
- __init__.py
- image_transform.py
- simple_tokenizer.py
- viclip.py
- viclip_text.py
- viclip_vision.py
- __init__.py
- aesthetic_score.py
- base_evaluator.py
- clip_consistency.py
- clip_text_alignment.py
- dino_consistency.py
- dino_image_alignment.py
- dover_score.py
- dover_utils.py
- motion_alignment.py
- pick_score.py
- utils.py
- viclip_text_alignment.py
- .gitignore
- LICENSE
- README.md
- requirements.txt
// repository documentation
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