3 papers
cs.CV2026
OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
Hongyu Liu, Chun Wang, Feng Gao +6
We propose OPSD-V, an on-policy self-distillation paradigm for post-training few-step autoregressive (AR) video diffusion models. Existing few-step AR video generators can produce…
cs.CV2025
Active Intelligence in Video Avatars via Closed-loop World Modeling
Xuanhua He, Tianyu Yang, Ke Cao +6
Current video avatar generation methods excel at identity preservation and motion alignment but lack genuine agency, they cannot autonomously pursue long-term goals through adaptiv…
cs.AI2024
LLMs Meet Multimodal Generation and Editing: A Survey
Yingqing He, Zhaoyang Liu, Jingye Chen +13
With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…