2 papers
cs.CV2026
SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation
Mikhail Dereviannykh, Vikram Voleti, Simon Donne +3
Recent video-based world models pair the scalability of autoregressive (AR) prediction with the visual quality of diffusion models. The choice of scene tokenizer is paramount for t…
cs.CV2026
Human Video Generation from a Single Image with 3D Pose and View Control
Tiantian Wang, Chun-Han Yao, Tao Hu +3
Recent diffusion methods have made significant progress in generating videos from single images due to their powerful visual generation capabilities. However, challenges persist in…