activity
20212025
most citedTowards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN

19 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework

Tongchun Zuo, Zaiyu Huang, Shuliang Ning +7

Video virtual try-on (VVT) technology has garnered considerable academic interest owing to its promising applications in e-commerce advertising and entertainment. However, most exi…

cs.CV2023★ 9 cited

GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning

Zhenyu Xie, Zaiyu Huang, Xin Dong +5

Image-based Virtual Try-ON aims to transfer an in-shop garment onto a specific person. Existing methods employ a global warping module to model the anisotropic deformation for diff…

cs.CV2022★ 7 cited

Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning

Zaiyu Huang, Hanhui Li, Zhenyu Xie +3

In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this settin…

cs.CV2022★ 5 cited

PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao +5

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forw…

cs.CV2021★ 19 cited

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao +3

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. Yet, as most try-on approaches fi…