Wenhao's repositories
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.
control-a-video
Official Implementation of "Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models"
ControlVideo
[ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"
FateZero
[ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
RAVE
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models - CVPR 2024 - Official Repo
Rerender_A_Video
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
SimDA
[CVPR 2024] SimDA: Simple Diffusion Adapter for Efficient Video Generation
Text2Video-Zero
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
TokenFlow
Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)
Tune-A-Video
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
vid2vid-zero
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Video-P2P
Video-P2P: Video Editing with Cross-attention Control
wenhao728
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