collaborators

5 papers

cs.AI2026

Is Reasoning Always Useful? Rethinking Reasoning Utility in Universal Multimodal Embeddings

Wenxiao Fan, Jingling Fu, Luohang Liu +6

Reasoning-enhanced universal multimodal embeddings (UME) improve heterogeneous retrieval, but plausible rationales do not necessarily produce discriminative rankings. We study this…

cs.CV2026

GMO-EDIT: Grounded Multi-Operation Editing for E-Commerce Images

Zipeng Guo, Xiaoan Liu, Lichen Ma +9

Real-world e-commerce image editing often requires multiple, localized, and auditable operations rather than global restyling. This compositional nature poses a dual challenge: mod…

cs.CV2026

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion

Yu He, Lichen Ma, Zipeng Guo +5

Pixel-space diffusion models bypass the reconstruction bottleneck of Variational Autoencoders (VAEs) but face a fundamental "granularity dilemma": capturing global semantics favors…

cs.CV2026

LiWi: Layering in the Wild

Yu He, Fang Li, Haoyang Tong +7

Recent advances in generative models have empowered impressive layered image generation, yet their success is largely confined to graphic design domains. The layering of in-the-wil…

cs.CV2026

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition

Yu He, Ting Zhu, Yichun Liu +6

Recent research work on fashion outfit generation focuses on promoting visual consistency of garments by leveraging key information from reference image and text prompt. However, t…