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cs.CV2026

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

Jiazheng Xing, Fei Du, Hangjie Yuan +7

Recent advances in diffusion models have significantly improved text-to-video generation, enabling personalized content creation with fine-grained control over both foreground and…

cs.CV2026

DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning

Yujie Wei, Xinyu Liu, Shiwei Zhang +12

While large-scale diffusion models have revolutionized video synthesis, achieving precise control over both multi-subject identity and multi-granularity motion remains a significan…

cs.CV2025

Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning

Xinyu Liu, Hangjie Yuan, Yujie Wei +9

Unified video models exhibit strong capabilities in understanding and generation, yet they struggle with reason-informed visual editing even when equipped with powerful internal vi…

cs.CV2025

UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback

Ropeway Liu, Hangjie Yuan, Bo Dong +6

Relighting is a crucial task with both practical demand and artistic value, and recent diffusion models have shown strong potential by enabling rich and controllable lighting effec…

cs.CV2025

LumosFlow: Motion-Guided Long Video Generation

Jiahao Chen, Hangjie Yuan, Yichen Qian +6

Long video generation has gained increasing attention due to its widespread applications in fields such as entertainment and simulation. Despite advances, synthesizing temporally c…