collaborators

5 papers

cs.CV2026

TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters

Honglie Wang, Jia Sun, Zijun Li +11

Text editing in product posters entails inserting new text or replacing existing text while preserving product appearance, background content, and global composition. Despite recen…

cs.CV2026

DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation

Zijun Li, Yimin Zhou, Jia Sun +12

Diffusion-based generative AI has achieved remarkable success in e-commerce applications such as virtual try-on, poster generation, and product background synthesis. However, when…

cs.CV2026

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

Jiyuan Wang, Huan Ouyang, Jiuzhou Lin +15

In this paper, we propose Concentrate and Concentrate (CaC), a coarse-to-fine anomaly reward model based on Vision-Language Models. During inference, it first conducts a global tem…

cs.CV2026

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations

Yongrui Heng, Chaoya Jiang, Han Yang +2

Self-evolution of multimodal large language models (MLLMs) remains a critical challenge: pseudo-label-based methods suffer from progressive quality degradation as model predictions…

cs.CV2026

From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

Hongrui Jia, Chaoya Jiang, Yongrui Heng +2

As Large Multimodal Models (LMMs) scale up and reinforcement learning (RL) methods mature, LMMs have made notable progress in complex reasoning and decision making. Yet training st…