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Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential.
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H. Yang, R. Zhang, X. Guo, W. Liu, W. Zuo, and P. Luo, “Towards photo-realistic virtual try-on by adaptively generating preserving image content,” in CVPR , 2020, pp. 7850–7859
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2020
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T. Issenhuth, J. Mary, and C. Calauzènes, “Do not mask what you do not need to mask: A parser-free virtual try-on,” in ECCV , 2020, pp. 619–635
2020
Cited alongside, same era.
2021
Later among the works it cites.
C. Ge, Y. Song, Y. Ge, H. Yang, W. Liu, and P. Luo, “Disentangled cycle consistency for highly-realistic virtual try-on,” in CVPR , 2021, pp. 16 928–16 937
2021
Later among the works it cites.
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2021
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2021
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H. Yang, X. Yu, and Z. Liu, “Full-range virtual try-on with recurrent tri-level transform,” in CVPR , 2022, pp. 3460–3469
2022
Closest in time.
X. Dong, F. Zhao, Z. Xie, X. Zhang, K. Du, M. Zheng, X. Long, X. Liang, and J. Yang, “Dressing in the wild by watching dance videos,” in CVPR , 2022, pp. 3480–3489
2022
Closest in time.
S. He, Y.-Z. Song, and T. Xiang, “Style-based global appearance flow for virtual try-on,” in CVPR , 2022, pp. 3470–3479
2022
Closest in time.
S. Lee, G. Gu, S. Park, S. Choi, and J. Choo, “High-resolution virtual try-on with misalignment and occlusion-handled conditions,” in ECCV , 2022
2022
Closest in time.
A. Frühstück, K. K. Singh, E. Shechtman, N. J. Mitra, P. Wonka, J. L. Frühstück, K. K. Singh, E. Shechtman, N. J. Mitra, P. Wonka, and J. Lu, “Insetgan for full-body image generation,” in CVPR , 2022, pp. 7723–7732
2022
Closest in time.
J. Fu, S. Li, Y. Jiang, K.-Y. Lin, C. Qian, C. C. Loy, W. Wu, and Z. Liu, “Stylegan-human: A data-centric odyssey of human generation,” in ECCV , 2022
2022
Closest in time.
C. Lin, Z. Li, S. Zhou, S. Hu, J. Zhang, L. Luo, J. Zhang, L. Huang, and Y. He, “Rmgn: A regional mask guided network for parser-free virtual try-on,” in IJCAI , 2022
2022
Closest in time.
S. Bai, H. Zhou, Z. Li, C. Zhou, and H. Yang, “Single stage virtual try-on via deformable attention flows,” in ECCV , 2022
2022
Closest in time.