209 citations · 406 across the 50 of their papers we have counts for
52 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…
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…
FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space
FSVideo Team, Qingyu Chen, Zhiyuan Fang +17
We introduce FSVideo, a fast speed transformer-based image-to-video (I2V) diffusion framework. We build our framework on the following key components: 1.) a new video autoencoder w…
Envision: Embodied Visual Planning via Goal-Imagery Video Diffusion
Yuming Gu, Yizhi Wang, Yining Hong +9
Embodied visual planning aims to enable manipulation tasks by imagining how a scene evolves toward a desired goal and using the imagined trajectories to guide actions. Video diffus…
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…