Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance
cs.CV
Submitted: 2026-10-14
Updated: 2026-10-14
Project page: https://zhuobaidong.github.io/Glance-Forcing
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
- SkyReels-V2: Infinite-length Film Generative Model
- LTX-Video: Realtime Video Latent Diffusion
- Imagen Video: High Definition Video Generation with Diffusion Models
- LoRA: Low-Rank Adaptation of Large Language Models
- Pyramidal Flow Matching for Efficient Video Generative Modeling
- Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
- Transition Matching Distillation for Fast Video Generation
- Improved Techniques for Training Consistency Models
- Consistency Models
- Seedance 2.0: Advancing Video Generation for World Complexity
- Wan: Open and Advanced Large-Scale Video Generative Models
- MAGI-1: Autoregressive Video Generation at Scale
- VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
- Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
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