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Recent advances in garment-centric image generation from text and image prompts based on diffusion models are impressive.
On the canny edge detector
Lijun Ding and Ardeshir Goshtasby · 2001
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2010
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2011
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Decoupled weight decay regularization
I Loshchilov · 2017
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Toward characteristic-preserving image-based virtual try-on network
Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, and Meng Yang · 2018
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Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z Cao, G Hidalgo, T Simon, SE Wei, and Y Sheikh · 2020
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Image quality assessment: Unifying structure and texture similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Do not mask what you do not need to mask: a parser-free virtual try-on
Thibaut Issenhuth, Jérémie Mary, and Clément Calauzenes · 2020
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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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Cogview: Mastering text-to-image generation via transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, et al · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Toward accurate and realistic outfits visualization with attention to details
Kedan Li, Min Jin Chong, Jeffrey Zhang, and Jingen Liu · 2021
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
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Style-based global appearance flow for virtual try-on
Sen He, Yi-Zhe Song, and Tao Xiang · 2022
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High-resolution virtual try-on with misalignment and occlusion-handled conditions
Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, and Jaegul Choo · 2022
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Dress code: High-resolution multi-category virtual try-on
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, and Rita Cucchiara · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Taming the power of diffusion models for high-quality virtual try-on with appearance flow
Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, and Liqing Zhang · 2023
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Reversion: Diffusion-based relation inversion from images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin CK Chan, and Ziwei Liu · 2023
Cited alongside, same era.
Magic clothing: Controllable garment-driven image synthesis
Weifeng Chen, Tao Gu, Yuhao Xu, and Chengcai Chen · 2024
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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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Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, et al · 2024
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu · 2024
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Resolving multi-condition confusion for finetuning-free personalized image generation
Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, and Jie Song · 2024
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Sssegmenation: An open source supervised semantic segmentation toolbox based on pytorch
Zhenchao Jin · 2023
Cited alongside, same era.
Scaling up gans for text-to-image synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, and Taesung Park · 2023
Cited alongside, same era.
Multi-concept customization of text-to-image diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu · 2023
Cited alongside, same era.
Cones 2: Customizable image synthesis with multiple subjects
Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, and Yang Cao · 2023
Cited alongside, same era.
Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, and Rita Cucchiara · 2023
Cited alongside, same era.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Cited alongside, same era.
Concept decomposition for visual exploration and inspiration
Yael Vinker, Andrey Voynov, Daniel Cohen-Or, and Ariel Shamir · 2023
Cited alongside, same era.
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Idrnet: Intervention-driven relation network for semantic segmentation
Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, and Lequan Yu · 2024
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Dreamfit: Garment-centric human generation via a lightweight anything-dressing encoder
Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, and Xiaodan Liang · 2024
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Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning
Jian Ma, Junhao Liang, Chen Chen, and Haonan Lu · 2024
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T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan · 2024
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Imagdressing-v1: Customizable virtual dressing
Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, and Jinghui Tang · 2024
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Instantbooth: Personalized text-to-image generation without test-time finetuning
Jing Shi, Wei Xiong, Zhe Lin, and Hyun Joon Jung · 2024
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Stablegarment: Garment-centric generation via stable diffusion
Rui Wang, Hailong Guo, Jiaming Liu, Huaxia Li, Haibo Zhao, Xu Tang, Yao Hu, Hao Tang, and Peipei Li · 2024
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Mm-diff: High-fidelity image personalization via multi-modal condition integration
Zhichao Wei, Qingkun Su, Long Qin, and Weizhi Wang · 2024
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Fastcomposer: Tuning-free multi-subject image generation with localized attention
Guangxuan Xiao, Tianwei Yin, William T Freeman, Frédo Durand, and Song Han · 2024
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Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on. arxiv 2024
Y Xu, T Gu, W Chen, and C Chen · 2024
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Ssr-encoder: Encoding selective subject representation for subject-driven generation
Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, et al · 2024
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