5 papers
Routing Policy Optimization for Online Diffusion Reinforcement Learning
Qiuhong Shen, Yiding Yang, Yuxin Zhang +8
Reinforcement learning can align visual generators with reward signals beyond their pretraining objectives, but existing score-function methods typically introduce stochasticity by…
PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
Zimo Wang, Junkun Yuan, Angtian Wang +9
Modern video diffusion models require tens of denoising evaluations over long spatiotemporal token sequences. Distribution Matching Distillation (DMD) reduces the number of functio…
HECTOR: Hybrid Editable Compositional Object References for Video Generation
Guofeng Zhang, Angtian Wang, Jacob Zhiyuan Fang +4
Real-world videos naturally portray complex interactions among distinct physical objects, effectively forming dynamic compositions of visual elements. However, most current video g…
VIVA: VLM-Guided Instruction-Based Video Editing with Reward Optimization
Xiaoyan Cong, Haotian Yang, Angtian Wang +4
Instruction-based video editing aims to modify an input video according to a natural-language instruction while preserving content fidelity and temporal coherence. However, existin…
TGT: Text-Grounded Trajectories for Locally Controlled Video Generation
Guofeng Zhang, Angtian Wang, Jacob Zhiyuan Fang +8
Text-to-video generation has advanced rapidly in visual fidelity, whereas standard methods still have limited ability to control the subject composition of generated scenes. Prior…