Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo
2020Year
77Top-tier citations
Abstract
Abstract Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the characteristics of a clothing image (e.g., texture, logo, and embroidery) when warping it to an arbitrary human pose. However, it remains a big challenge to generate photo-realistic try-on images when large occlusions and human poses are presented in the reference person (Fig. 1 ).
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Cited by top-tier papers77
- OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-OnYuhao Xu, Tao Gu, Weifeng Chen, Arlene ChenAAAI 2025 · 177 citations
- LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-OnDavide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia et al.ACM MM 2023 · 124 citations
- Style-Based Global Appearance Flow for Virtual Try-OnSen He, Yi-Zhe Song, Tao XiangCVPR 2022 · 112 citations
- Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit EditingAiyu Cui, Daniel McKee, Svetlana LazebnikICCV 2021 · 110 citations
- Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image EditingAlberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia et al.ICCV 2023 · 103 citations
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- Towards Multi-Pose Guided Virtual Try-On NetworkHaoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang et al.ICCV 2019 · 226 citations
- VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature PreservationRuiyun Yu, Xiaoqi Wang, Xiaohui XieICCV 2019 · 184 citations
- FiNet: Compatible and Diverse Fashion Image InpaintingXintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott et al.ICCV 2019 · 85 citations
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