Search Results for author: Zhenyu Xie

Found 11 papers, 6 papers with code

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

1 code implementation CVPR 2023 Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang

Specifically, compared with the previous global warping mechanism, LFGP employs local flows to warp garments parts individually, and assembles the local warped results via the global garment parsing, resulting in reasonable warped parts and a semantic-correct intact garment even with challenging inputs. On the other hand, our DGT training strategy dynamically truncates the gradient in the overlap area and the warped garment is no more required to meet the boundary constraint, which effectively avoids the texture squeezing problem.

Virtual Try-on

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

1 code implementation25 Nov 2022 Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang

Existing methods are restricted in this setting as they estimate garment warping flows mainly based on 2D poses and appearance, which omits the geometric prior of the 3D human body shape.

Virtual Try-on

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

no code implementations11 Aug 2022 Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang

ARMANI discretizes an image into uniform tokens based on a learned cross-modal codebook in its first stage and uses a Transformer to model the distribution of image tokens for a real image given the tokens of the control signals in its second stage.

Image Generation

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

1 code implementation27 Jul 2022 Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang

In this work, we take a step forwards to explore versatile virtual try-on solutions, which we argue should possess three main properties, namely, they should support unsupervised training, arbitrary garment categories, and controllable garment editing.

Disentanglement Image Generation +1

Dressing in the Wild by Watching Dance Videos

no code implementations CVPR 2022 Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang

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 imagery, presenting severe garment-person misalignment as well as noticeable degradation in fine texture details.

Image Generation Virtual Try-on

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

1 code implementation NeurIPS 2021 Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang

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

Disentanglement Image Generation +1

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

no code implementations27 Oct 2021 Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin

The integration of human parsing and appearance flow effectively guides the generation of video frames with realistic appearance.

Human Parsing Video Generation

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

1 code implementation ICCV 2021 Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang

Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value.

Virtual Try-on

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

no code implementations1 Aug 2021 Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang

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 clothing categories that require different warping operations.

Neural Architecture Search Virtual Try-on

Fashion Editing with Adversarial Parsing Learning

no code implementations CVPR 2020 Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin

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

Human Parsing Image Manipulation

Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification

1 code implementation29 Jan 2019 Guangcong Wang, Jian-Huang Lai, Zhenyu Xie, Xiaohua Xie

With the discovered underlying person structure, the RLD method builds a bridge between the global and local feature representation and thus improves the capacity of feature representation for person re-ID.

Person Re-Identification Representation Learning

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