collaborators

6 papers

cs.CV2026

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization

Wenwang Huang, Yusen Fu, Junjie Wang +6

While personalized image generation has achieved remarkable progress, multi-reference image generation (MRIG) remains a challenging task. Most existing benchmarks fail to adequatel…

cs.CV2026

Adaptive Multi-Scale Channel-Spatial Attention Aggregation Framework for 3D Indoor Semantic Scene Completion Toward Assisting Visually Impaired

Qi He, XiangXiang Wang, Jingtao Zhang +5

Independent indoor mobility remains a critical challenge for individuals with visual impairments, largely due to the limited capability of existing assistive systems in detecting f…

cs.CV2026

PGVMS: A Prompt-Guided Unified Framework for Virtual Multiplex IHC Staining with Pathological Semantic Learning

Fuqiang Chen, Ranran Zhang, Wanming Hu +6

Immunohistochemical (IHC) staining enables precise molecular profiling of protein expression, with over 200 clinically available antibody-based tests in modern pathology. However,…

cs.CV2026

Any-to-All MRI Synthesis: A Unified Foundation Model for Nasopharyngeal Carcinoma and Its Downstream Applications

Yao Pu, Yiming Shi, Zhenxi Zhang +6

Magnetic resonance imaging (MRI) is essential for nasopharyngeal carcinoma (NPC) radiotherapy (RT), but practical constraints, such as patient discomfort, long scan times, and high…

cs.CV2025

USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining

Yue Peng, Bing Xiong, Fuqiang Chen +5

Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E images while maintaining pathological semantic consistency with adjacent slices. Th…

cs.CV2025

IC-Custom: Diverse Image Customization via In-Context Learning

Yaowei Li, Xiaoyu Li, Zhaoyang Zhang +11

Image customization, a crucial technique for industrial media production, aims to generate content that is consistent with reference images. However, current approaches conventiona…