[Arxiv] A Survey on Video Diffusion Models
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Updated
Jul 2, 2024
[Arxiv] A Survey on Video Diffusion Models
Codes for ID-Specific Video Customized Diffusion
[CVPR 2024 Highlight] ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.
Generate video from text using AI
A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
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