[CSUR] A Survey on Video Diffusion Models
Generate video from text using AI
Generative World Renderer: an AI-native Renderer for Games and Virtual Worlds.
Codes for ID-Specific Video Customized Diffusion
Our method reconstructs 3D worlds from video diffusion models using non-rigid alignment to resolve inherent 3D inconsistencies in the generated sequences.
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.
SCoPE: Sightline-Coordinate Positional Encoding for 3D-Aware Video Generation
[SIGGRAPH Asia 2025] WorldExplorer: Towards Generating Fully Navigable 3D Scenes
[CVPR 2024 Highlight] ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
NEWTON: Agentic Planning for Physically Grounded Video Generation
[CVPR 2025] Official code for Using Diffusion Priors for Video Amodal Segmentation
Train a real-time, playable Video World Models on 8 GPUs — keyboard & mouse control & gamepad, fully open and reproducible.
Official Implementation of LongLive-RAG: A general retrieval-augmented framework for long video generation.
UniVidX intrinsic & alpha video decomposition custom nodes for ComfyUI
[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
[ECCV 2026] Official implementation of "MemRoPE: Training-Free Infinite Video Generation via Evolving Memory Tokens"
Official implementation of the paper "VGGT-Diff: Visual Geometry Meets Diffusion for Sparse-View Novel View Synthesis."
This is the project for 'Any2Caption', Interpreting Any Condition to Caption for Controllable Video Generation
[CVPR2025] AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
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