11 papers
ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing
Hengjia Li, Liming Jiang, Qing Yan +6
Instruction-driven image editing with unified multimodal generative models has advanced rapidly, yet their underlying visual reasoning remains limited, leading to suboptimal perfor…
PhyRPR: Training-Free Physics-Constrained Video Generation
Yibo Zhao, Hengjia Li, Xiaofei He +1
Recent diffusion-based video generation models can synthesize visually plausible videos, yet they often struggle to satisfy physical constraints. A key reason is that most existing…
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
Xi Xiao, Yunbei Zhang, Janet Wang +9
Accurate road damage detection is crucial for timely infrastructure maintenance and public safety, but existing vision-only datasets and models lack the rich contextual understandi…
Singing Timbre Popularity Assessment Based on Multimodal Large Foundation Model
Zihao Wang, Ruibin Yuan, Ziqi Geng +7
Automated singing assessment is crucial for education and entertainment. However, existing systems face two fundamental limitations: reliance on reference tracks, which stifles cre…
MagicView: Multi-View Consistent Identity Customization via Priors-Guided In-Context Learning
Hengjia Li, Jianjin Xu, Keli Cheng +5
Recent advances in personalized generative models have demonstrated impressive capabilities in producing identity-consistent images of the same individual across diverse scenes. Ho…
RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence
Xuming He, Zehao Fan, Hengjia Li +7
Recent advances in video generation have enabled the synthesis of videos with strong temporal consistency and impressive visual quality, marking a crucial step toward vision founda…