collaborators

5 papers

cs.CV2026

No Corners Cut: State-Grounded Transitions for Mid-Stream Prompt Switches in Video Generation

Zejing Rao, Ketong Ren, Xiaoqiang Liu +3

Streaming video generators allow users to dynamically modulate video synthesis via mid-stream prompt switching. Existing streaming methods can respond to the updated instruction wh…

cs.CV2026

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment

Ziyao Huang, Shunkai Li, Juan Cao +7

Recent advances in video diffusion models have spurred interest in human-object interaction (HOI) video generation, which demands fine-grained control over interaction logic beyond…

cs.CV2026

StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation

Zejing Rao, Haoxian Zhang, Xiaoqiang Liu +5

Existing human--object interaction (HOI) video generation methods are largely limited to offline short-video generation with complex driving conditions, making them unsuitable for…

cs.CV2025

Video Generation Models Are Good Latent Reward Models

Xiaoyue Mi, Wenqing Yu, Jiesong Lian +9

Reward feedback learning (ReFL) has proven effective for aligning image generation with human preferences. However, its extension to video generation faces significant challenges.…

cs.CV2025

Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning

Hairui Ren, Fan Tang, He Zhao +3

Fine-tuning vision-language models (VLMs) with large amounts of unlabeled data has recently garnered significant interest. However, a key challenge remains the lack of high-quality…