DuoMatching: Joint-Marginal Distribution Matching for Few-Step Video Generation
cs.CV
Submitted: 2026-10-02
Updated: 2026-10-02
Project page: https://johnzhan2023.github.io/DuoMatching
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
- Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
- Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation
- One-Forcing: Towards Stable One-Step Autoregressive Video Generation
- I4VGen: Image as Free Stepping Stone for Text-to-Video Generation
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
- Distribution Matching Distillation Meets Reinforcement Learning
- Open-Sora Plan: Open-Source Large Video Generation Model
- Diffusion Adversarial Post-Training for One-Step Video Generation
- Flow Matching for Generative Modeling
- RealWonder: Real-Time Physical Action-Conditioned Video Generation
- Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
- Seedance 2.0: Advancing Video Generation for World Complexity
- Seedream 4.0: Toward Next-generation Multimodal Image Generation
- Make-A-Video: Text-to-Video Generation without Text-Video Data
- WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
- A Good Image Generator Is What You Need for High-Resolution Video Synthesis
- Wan: Open and Advanced Large-Scale Video Generative Models
- VideoLCM: Video Latent Consistency Model
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