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Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and inference.
Principal warps: Thin-plate splines and the decomposition of deformations
Fred L. Bookstein · 1989
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Densepose: Dense human pose estimation in the wild, 2018
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
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Viton: An image-based virtual try-on network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis · 2018
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Toward characteristic-preserving image-based virtual try-on network
Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, and Liang Lin · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, and Ping Luo · 2019
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Clothflow: A flow-based model for clothed person generation
Xintong Han, Xiaojun Hu, Weilin Huang, and Matthew R Scott · 2019
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Ilya Loshchilov and Frank Hutter · 2019
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Self-correction for human parsing
Peike Li, Yunqiu Xu, Yunchao Wei, and Yi Yang · 2020
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Cp-vton+: Clothing shape and texture preserving image-based virtual try-on
Matiur Rahman Minar, Thai Thanh Tuan, Heejune Ahn, Paul Rosin, and Yu-Kun Lai · 2020
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Maximilian Seitzer · 2020
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Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel, and Arthur Gretton · 2021
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Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
Seunghwan Choi, Sunghyun Park, Minsoo Lee, and Jaegul Choo · 2021
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Parser-free virtual try-on via distilling appearance flows
Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, and Ping Luo · 2021
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Lora: Low-rank adaptation of large language models, 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on, 2023
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo · 2023
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LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, and Rita Cucchiara · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Attention is all you need, 2023
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calflops: a flops and params calculate tool for neural networks in pytorch framework, 2023
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High-resolution image synthesis with latent diffusion models, 2021
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Tryondiffusion: A tale of two unets, 2023
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Classifier-free diffusion guidance, 2022
Jonathan Ho and Tim Salimans · 2022
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Auto-encoding variational bayes, 2022
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Dress code: High-resolution multi-category virtual try-on, 2022
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, and Rita Cucchiara · 2022
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
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Pasta-gan++: A versatile framework for high-resolution unpaired virtual try-on, 2022
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xiaoju ye · 2023
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Gp-vton: Towards general purpose virtual try-on via collaborative local-flow global-parsing learning
Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, and Xiaodan Liang · 2023
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Warpdiffusion: Efficient diffusion model for high-fidelity virtual try-on, 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
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Adding conditional control to text-to-image diffusion models, 2023
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Improving diffusion models for virtual try-on
Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, and Jinwoo Shin · 2024
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Outfitanyone: Ultra-high quality virtual try-on for any clothing and any person, 2024
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Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on
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