Awesome Video Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, nerf, etc. Use it to navigate the topic and choose relevant methods, papers or tools.

Editorial note: curated source snapshot published by Collider.club under the MIT License. Source attribution is preserved in the front matter.

Source snapshot

Awesome Video Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, nerf, etc.

(Source: Make-A-Video, Tune-A-Video, and Fate/Zero.)

Table of Contents

• Open-source Toolboxes and Foundation Models
• Evaluation Benchmarks and Metrics
• Commercial Product
• Video Generation
• Efficient Video Generation
• Controllable Video Generation
• Character Customization
• Motion Customization
• Long Video / Film Generation
• Video Generation with 3D/Physical Prior
• Video Editing
• Human or Subject Motion
• Video Enhancement and Restoration
• Audio Synthesis for Video
• Talking Head Generation
• Reinforcement Learning for Video Generation
• Policy Learning
• Virtual Try-On
• 3D
• 4D
• Game Generation
• AI Safety
• Rendering with Virtual Engine
• Open-World Model
• Video Understanding
• Healthcare and Biology
• Other Applications
• Code-rendered Video Generation

Open-source Toolboxes and Foundation Models

• NanoI2V
  
  A step-by-step teaching series for building an Image-to-Video model from scratch in PyTorch, covering 3D VAEs, DiT, Flow Matching, RoPE, and conditioning.

• Helios: Real Real-Time Long Video Generation Model
  

• Waver: Wave Your Way to Lifelike Video Generation

• FastVideo: A unified inference and post-training framework for accelerated video generation

• LightX2V: Light Video Generation Inference Framework
  

• Wan-Video
  

• SkyReels-V2
  

• DiffSynth-Studio
  

• Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
  

• Cosmos
  

• LTX-Video
  

• HunyuanVideo: A Systematic Framework For Large Video Generative Models
  

• VideoTuna
  

• Allegro
  

• Mochi 1
  

• Movie Gen: A Cast of Media Foundation Models
  

• Pyramidal Flow Matching for Efficient Video Generative Modeling
  

• Open-Sora-Plan
  

• Open-Sora
  

• Stable Video Diffusion
  

• Show-1
  

• Hotshot-XL (text-to-GIF)
  

• zeroscope_v2
  

• I2VGen-XL (image-to-video / video-to-video)
  

• text-to-video-synthesis-colab
  

• VideoCrafter: A Toolkit for Text-to-Video Generation and Editing
  

• ModelScope (Text-to-video synthesis)
  

• Diffusers (Text-to-video synthesis)
  

• Wunjo CE (Video Generation and Editing)
  

Evaluation Benchmarks and Metrics

• LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference (Oct., 2025)
  

• Stable Cinemetrics: Structured Taxonomy and Evaluation for Professional Video Generation (Sep., 2025)
  

• OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation (Mar., 2025)
  

• VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness (Mar., 2025)
  

• Impossible Videos (Mar., 2025)
  

• MEt3R: Measuring Multi-View Consistency in Generated Images (Jan., 2025)
  

• Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation (Dec., 2024)
  

• Evaluation Agent, Efficient and Promptable Evaluation Framework for Visual Generative Models (Dec., 2024)
  

• Frechet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos (Jun., 2024)
  

• T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation (Jun., 2024)
  

• ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation (NeurIPS, 2024)
  

• PEEKABOO: Interactive Video Generation via Masked-Diffusion (CVPR, 2024)
  

• T2VScore: Towards A Better Metric for Text-to-Video Generation (Jan., 2024)
  

• StoryBench: A Multifaceted Benchmark for Continuous Story Visualization (NeurIPS, 2023)
  

• VBench: Comprehensive Benchmark Suite for Video Generative Models (Nov., 2023)
  

• FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation (Nov., 2023)
  

• EvalCrafter: Benchmarking and Evaluating Large Video Generation Models (Oct., 2023)
  

• Evaluation of Text-to-Video Generation Models: A Dynamics Perspective (Jul., 2024)
  

• VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models (May., 2024)
  

• Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers (CVPR, 2024)
  

• ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects (CVPR, 2023)
  

Commercial Product

• Veo 2 (Google)
  

• Kling (KuaiShou)
  

• Gen 3 (Runway)
  

• Dream Machine (Luma AI)
  

• Sora (Open AI)
  

• Wunjo (WR)
  

• Shortodella
  

• Seedream AI Studio
  

• Riffkit
  

Video Generation

• Helios: Real Real-Time Long Video Generation Model (Mar., 2026)
  

• MOVA: Towards Scalable and Synchronized Video-Audio Generation (Feb., 2026)

• Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation (Feb., 2026)
  

• VINO: A Unified Visual Generator with Interleaved OmniModal Context (Jan., 2026)
  

• UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers (Oct., 2025)
  

• VISTA: A Test-Time Self-Improving Video Generation Agent (Oct., 2025 | CVPR 2026)
  

• UniVideo: Unified Understanding, Generation, and Editing for Videos (Oct., 2025)
  

• PUSA V1.0: Surpassing Wan-I2V with $500 Training Cost by Vectorized Timestep Adaptation (July., 2025)
  

• LayerFlow : A Unified Model for Layer-aware Video Generation (May., 2025)
  

• InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO (May., 2025)
  

• Training-Free Efficient Video Generation via Dynamic Token Carving (May., 2025)
  

• ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction (Apr., 2025)
  

• Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis (Apr., 2025)
  

• MAGI-1: Autoregressive Video Generation at Scale (Apr., 2025)
  

• SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation (Apr., 2025)
  

• Packing Input Frame Context in Next-Frame Prediction Models for Video Generation (Apr., 2025)
  

• SkyReels-V2: Infinite-length Film Generative Model (Apr., 2025)
  

• Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model (Apr., 2025)
  

• Aligning Text-to-Video Generation Models with Prompt Optimization (Mar., 2025)
  

• Target-Aware Video Diffusion Models (Mar., 2025)
  

• MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation (Mar., 2025)
  

• Video-T1: Test-Time Scaling for Video Generation (Mar., 2025)
  

• Temporal Regularization Makes Your Video Generator Stronger (Mar., 2025)
  

• VACE: All-in-One Video Creation and Editing (Mar., 2025)
  

• RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers (Feb., 2025)
  

• DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation (Feb., 2025)
  

• Magic 1-For-1: Generating One Minute Video Clips within One Minute (Feb., 2025)
  

• Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT (Feb., 2025)
  

• Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search (Jan., 2025)
  

• RepVideo: Rethinking Cross-Layer Representation for Video Generation (Jan., 2025)
  

• Large Motion Video Autoencoding with Cross-modal Video VAE (Dec., 2024)
  

• MotiF: Making Text Count in Image Animation with Motion Focal Loss (Dec., 2024)
  

• VideoDPO: Omni-Preference Alignment for Video Diffusion Generation (Dec., 2024)
  

• Autoregressive Video Generation without Vector Quantization (Dec., 2024)
  

• AniDoc: Animation Creation Made Easier (Dec., 2024)
  

• Video Diffusion Transformers are In-Context Learners (Dec., 2024)
  

• Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation (Dec., 2024 | CVPR 2025)
  

• Instructional Video Generation (Dec., 2024)
  

• Mimir: Improving Video Diffusion Models for Precise Text Understanding (Dec., 2024)
  

• Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling (Dec., 2024)
  

• Identity-Preserving Text-to-Video Generation by Frequency Decomposition (Nov., 2024)
  

• WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model (Nov., 2024)
  

• VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement (Nov., 2024)
  

• Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning (Oct., 2024 | NeurIPS 2024)
  

• Improved Video VAE for Latent Video Diffusion Model (Oct., 2024)
  

• VideoAgent: Self-Improving Video Generation
  

• T2V-Turbo-v2: Enhancing Video Generation Model Post-Training Through Data, Reward, and Conditional Guidance Design (Oct, 2024)
  

• Progressive Autoregressive Video Diffusion Models (Oct., 2024)
  

• Real-Time Video Generation with Pyramid Attention Broadcast (Aug., 2024)
  

• xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations (Aug., 2024)
  

• CogVideoX: Text-to-video generation (Aug., 2024)
  

• FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention (Aug., 2024)
  

• VEnhancer: Generative Space-Time Enhancement for Video Generation (Jul., 2024)
  

• Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models (Jul., 2024)
  

• Video Diffusion Alignment via Reward Gradient (Jul., 2024)
  

• ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning (Jun., 2024)
  

• MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance (Jul., 2024)
  

• Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model (Jun., 2024)
  

• Video-Infinity: Distributed Long Video Generation (Jun., 2024)
  

• MotionBooth: Motion-Aware Customized Text-to-Video Generation (Jun., 2024)
  

• Text-Animator: Controllable Visual Text Video Generation (Jun., 2024)
  

• UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation (Jun., 2024)
  

• T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback (May, 2024)
  

• Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control (May, 2024)
  

• Human4DiT: Free-view Human Video Generation with 4D Diffusion Transformer (May, 2024)
  

• FIFO-Diffusion: Generating Infinite Videos from Text without Training (May, 2024)
  

• Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models (May, 2024)
  

• Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers (May, 2024)
  

• StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation (May, 2024)
  

• TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models (CVPR 2024)
  

• ID-Animator: Zero-Shot Identity-Preserving Human Video Generation (Apr., 2024)
  

• AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment (Apr., 2024)
  

• MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators (Apr., 2024)
  

• TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models (CVPR 2024)
  

• VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis (Mar., 2024)
  

• StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text (Mar., 2024)
  

• Intention-driven Ego-to-Exo Video Generation (Mar., 2024)
  

• VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models (Mar., 2024)
  

• Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis (Feb., 2024)
  

• One-Shot Motion Customization of Text-to-Video Diffusion Models (Feb., 2024)
  

• Magic-Me: Identity-Specific Video Customized Diffusion (Feb., 2024)
  

• ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation (Feb., 2024)
  

• Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion (Feb., 2024)
  

• Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization (Feb., 2024)
  

• Boximator: Generating Rich and Controllable Motions for Video Synthesis (Feb., 2024)
  

• Lumiere: A Space-Time Diffusion Model for Video Generation (Jan., 2024)
  

• ActAnywhere: Subject-Aware Video Background Generation (Jan., 2024)
  

• WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens (Jan., 2024)
  

• CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects (Jan., 2024)
  

• UniVG: Towards UNIfied-modal Video Generation (Jan., 2024)
  

• VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models (Jan., 2024)
  

• 360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model (Jan., 2024)