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Diffusion models for garment-centric human generation from text or image prompts have garnered emerging attention for their great application potential.
Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
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Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2013 · 2013
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Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
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Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
Choi, S.; Park, S.; Lee, M.; and Choo, J. 2021 · 2021
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Clipscore: A reference-free evaluation metric for image captioning
Hessel, J.; Holtzman, A.; Forbes, M.; Bras, R. L.; and Choi, Y. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2021 · 2021
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Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
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Classifier-free diffusion guidance
Ho, J.; and Salimans, T. 2022 · 2022
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Dress code: High-resolution multi-category virtual try-on
Morelli, D.; Fincato, M.; Cornia, M.; Landi, F.; Cesari, F.; and Cucchiara, R. 2022 · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
Schuhmann, C.; Beaumont, R.; Vencu, R.; Gordon, C.; Wightman, R.; Cherti, M.; Coombes, T.; Katta, A.; Mullis, C.; Wortsman, M.; et al. 2022 · 2022
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Deepspeed
2023 · 2023
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Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F. L.; Almeida, D.; Altenschmidt, J.; Altman, S.; Anadkat, S.; et al. 2023 · 2023
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Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
Cui, A.; Mahajan, J.; Shah, V.; Gomathinayagam, P.; and Lazebnik, S. 2023 · 2023
Cited alongside, same era.
Viescore: Towards explainable metrics for conditional image synthesis evaluation
Ku, M.; Jiang, D.; Wei, C.; Yue, X.; and Chen, W. 2023 · 2023
Cited alongside, same era.
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Morelli, D.; Baldrati, A.; Cartella, G.; Cornia, M.; Bertini, M.; and Cucchiara, R. 2023 · 2023
Cited alongside, same era.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
Podell, D.; English, Z.; Lacey, K.; Blattmann, A.; Dockhorn, T.; Müller, J.; Penna, J.; and Rombach, R. 2023 · 2023
Cited alongside, same era.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Hu, L. 2024 · 2024
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StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Kim, J.; Gu, G.; Park, M.; Park, S.; and Choo, J. 2024 · 2024
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FLUX.1-dev
Labs, B. F. 2024 · 2024
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SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules
Li, S.; Yang, L.; Jiang, X.; Lu, H.; Di, Z.; Lu, W.; Chen, J.; Liu, K.; Yu, Y.; Lan, T.; et al. 2024 · 2024
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T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Mou, C.; Wang, X.; Xie, L.; Wu, Y.; Zhang, J.; Qi, Z.; and Shan, Y. 2024 · 2024
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Dreambench++: A human-aligned benchmark for personalized image generation
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Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2023 · 2023
Cited alongside, same era.
Cogvlm: Visual expert for pretrained language models
Wang, W.; Lv, Q.; Yu, W.; Hong, W.; Qi, J.; Wang, Y.; Ji, J.; Yang, Z.; Zhao, L.; Song, X.; et al. 2023 · 2023
Cited alongside, same era.
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
xujie zhang; Li, X.; Kampffmeyer, M.; Dong, X.; Xie, Z.; Zhu, F.; Dong, H.; and Liang, X. 2023 · 2023
Cited alongside, same era.
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Ye, H.; Zhang, J.; Liu, S.; Han, X.; and Yang, W. 2023 · 2023
Cited alongside, same era.
Adding conditional control to text-to-image diffusion models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
Cited alongside, same era.
TryOnDiffusion: A Tale of Two UNets
Zhu, L.; Yang, D.; Zhu, T.; Reda, F.; Chan, W.; Saharia, C.; Norouzi, M.; and Kemelmacher-Shlizerman, I. 2023 · 2023
Cited alongside, same era.
Improving diffusion models for virtual try-on
Choi, Y.; Kwak, S.; Lee, K.; Choi, H.; and Shin, J. 2024 · 2024
Cited alongside, same era.
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Han, Y.; Zhu, J.; He, K.; Chen, X.; Ge, Y.; Li, W.; Li, X.; Zhang, J.; Wang, C.; and Liu, Y. 2024 · 2024
Cited alongside, same era.
Peng, Y.; Cui, Y.; Tang, H.; Qi, Z.; Dong, R.; Bai, J.; Han, C.; Ge, Z.; Zhang, X.; and Xia, S.-T. 2024 · 2024
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IMAGDressing-v1: Customizable Virtual Dressing
Shen, F.; Jiang, X.; He, X.; Ye, H.; Wang, C.; Du, X.; Li, Z.; and Tang, J. 2024 · 2024
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TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
Xing, J.; Xu, C.; Qian, Y.; Liu, Y.; Dai, G.; Sun, B.; Liu, Y.; and Wang, J. 2024 · 2024
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Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on
Xu, Y.; Gu, T.; Chen, W.; and Chen, C. 2024 · 2024
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Yang, Y.; Wang, W.; Peng, L.; Song, C.; Chen, Y.; Li, H.; Yang, X.; Lu, Q.; Cai, D.; Wu, B.; et al. 2024 · 2024
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MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
Zhang, X.; Lin, E.; Li, X.; Luo, Y.; Kampffmeyer, M.; Dong, X.; and Liang, X. 2024 · 2024
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M&M VTO: Multi-Garment Virtual Try-On and Editing
Zhu, L.; Li, Y.; Liu, N.; Peng, H.; Yang, D.; and Kemelmacher-Shlizerman, I. 2024 · 2024
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