WANG Andy Yucheng

CSE PhD student @HKUST

[Zedong (Jacky) Wang @JackyWangAI]

Thanks @HuggingPapers for sharing CARE-Edit! We introduce a condition-aware router that lets heterogeneous experts handle text, mask, and reference-guided edits without stepping on each other. Thrilled to see it accepted at #CVPR2026. Glad to have worked on this w/ @AndyYucheng.

[WANG Andy Yucheng @AndyYucheng]

Thanks @HuggingPapers for sharing our work!

[DailyPapers @HuggingPapers]

CARE-Edit

Accepted at CVPR 2026. This unified diffusion editor uses a condition-aware router to dynamically assign tokens to specialized experts (Text, Mask, Reference, Base), solving task interference and color bleeding in multi-condition image editing.

[Dan Xu ✈️ ICML'26 @danxuhk]

Thanks @_akhaliq for twittering our work. Our CoPart (accepted at ICCV2025 @ICCVConference) proposes a part-based 3D generation framework & the first large-scale manually-annotated part-level 3D dataset named PartVerse. It contains 12k objects and 91k parts, with part priority sort, texture, geometry, and part-level text captions. #3DGeneration #Partbased3DGeneration
arXiv: https://t.co/Ez8DNgm8tG
Github: https://t.co/LxTh1vWdDC
Project: https://t.co/rxOk15Qjly
HuggingFace: https://t.co/5rY5d64O2p
PartVerse Dataset: https://t.co/il3Ziv8Egq