activity
20192022
most citedImage Comes Dancing with Collaborative Parsing-Flow Video Synthesis

11 citations · 24 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20227 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

Dressing in the Wild by Watching Dance Videos

Xin Dong, Fuwei Zhao, Zhenyu Xie +6

While significant progress has been made in garment transfer, one of the most applicable directions of human-centric image generation, existing works overlook the in-the-wild image…

cs.CV202111 cited

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

Bowen Wu, Zhenyu Xie, Xiaodan Liang +3

Transferring human motion from a source to a target person poses great potential in computer vision and graphics applications. A crucial step is to manipulate sequential future mot…

cs.CV2021

M3D-VTON: A Monocular-to-3D Virtual Try-On Network

Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer +5

Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value. However, existing 3D virtual try-on methods mainly rely…

cs.CV20211 cited

WAS-VTON: Warping Architecture Search for Virtual Try-on Network

Zhenyu Xie, Xujie Zhang, Fuwei Zhao +4

Despite recent progress on image-based virtual try-on, current methods are constraint by shared warping networks and thus fail to synthesize natural try-on results when faced with…

cs.CV2019

Fashion Editing with Adversarial Parsing Learning

Haoye Dong, Xiaodan Liang, Yixuan Zhang +6

Interactive fashion image manipulation, which enables users to edit images with sketches and color strokes, is an interesting research problem with great application value. Existin…