Awesome-Video-Diffusion and Awesome-Style-Transfer-with-Diffusion-Models
These two tools are ecosystem siblings within the "video-diffusion-models" category; the first is a general curated list of video diffusion models, while the second is a more specific curated list focusing on style transfer methods that often involve diffusion models, making it a specialized subset of techniques relevant to the broader field.
About Awesome-Video-Diffusion
showlab/Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, and various other applications.
Organized into 20+ specialized categories, the collection spans foundation models and inference frameworks (HunyuanVideo, LTX-Video, Cosmos) alongside task-specific implementations for controllable generation, motion customization, video enhancement, talking head synthesis, and emerging domains like 4D content and game generation. The curated entries link to implementations built on diffusion architectures with complementary techniques including flow matching, reinforcement learning policies, and 3D/NeRF priors for physics-aware synthesis. Each resource includes direct GitHub repositories, arXiv papers, and project websites for reproducibility and comparative benchmarking across the video diffusion ecosystem.
About Awesome-Style-Transfer-with-Diffusion-Models
Westlake-AGI-Lab/Awesome-Style-Transfer-with-Diffusion-Models
A curated list of recent style transfer methods with diffusion models
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