collaborators

10 papers

cs.CV2026

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing

Xu Guo, Zhengxuan Wei, Xinghui Li +11

Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet typically expose them as separate operations over fixed inputs.…

cs.CV2026

WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models

Ting-Bing Xu, Jiacheng Sui, Zhe Gao +12

Despite rapid progress in interactive world models (IWMs), existing benchmarks evaluate action following only at trajectory level and ignore memory and interaction physics. We intr…

cs.CV2026

PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing

Shengbin Guo, Shaokang He, Chaoyue Meng +4

While instruction-based image editing, enabled by multi-modal generative models, has advanced significantly, existing benchmarks lack a comprehensive evaluation of physics-based re…

cs.CV2026

VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling

Xunzhi Xiang, Zixuan Duan, Yabo Chen +8

Large-scale video diffusion models often fail to preserve 3D structure over time, causing geometric drift and implausible motion under viewpoint changes. Existing methods usually e…

cs.CV2026

VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching

Yihong Guo, Youwei Lyu, Jiajun Tang +5

Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. Howeve…

cs.CV2026

Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation

Junyuan Ma, Xunzhi Xiang, Wenbin Li +2

Vision foundation models (VFMs) have achieved strong performance across various vision tasks. However, it still remains challenging to apply VFMs for cross-domain few-shot segmenta…