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Image-based virtual try-on aims to synthesize an image of a person wearing a given clothing item.
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Han, X., Wu, Z., Wu, Z., Yu, R., Davis, L.S.: Viton: An image-based virtual try-on network. In: Proc. of the IEEE conference on computer vision and pattern recognition (CVPR). pp. 7543–7552 (2018)
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Issenhuth, T., Mary, J., Calauzènes, C.: Do not mask what you do not need to mask: a parser-free virtual try-on. In: European Conference on Computer Vision. pp. 619–635. Springer (2020)
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Jandial, S., Chopra, A., Ayush, K., Hemani, M., Krishnamurthy, B., Halwai, A.: Sievenet: A unified framework for robust image-based virtual try-on. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 2182–2190 (2020)
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Minar, M.R., Ahn, H.: Cloth-vton: Clothing three-dimensional reconstruction for hybrid image-based virtual try-on. In: Proceedings of the Asian Conference on Computer Vision (2020)
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Patel, C., Liao, Z., Pons-Moll, G.: Tailornet: Predicting clothing in 3d as a function of human pose, shape and garment style. In: Proc. of the IEEE conference on computer vision and pattern recognition (CVPR). pp. 7365–7375 (2020)
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Han, X., Hu, X., Huang, W., Scott, M.R.: Clothflow: A flow-based model for clothed person generation. In: Proc. of the IEEE international conference on computer vision (ICCV). pp. 10471–10480 (2019)
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Yu, R., Wang, X., Xie, X.: Vtnfp: An image-based virtual try-on network with body and clothing feature preservation. In: Proc. of the IEEE international conference on computer vision (ICCV). pp. 10511–10520 (2019)
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Yang, H., Zhang, R., Guo, X., Liu, W., Zuo, W., Luo, P.: Towards photo-realistic virtual try-on by adaptively generating-preserving image content. In: Proc. of the IEEE conference on computer vision and pattern recognition (CVPR). pp. 7850–7859 (2020)
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Choi, S., Park, S., Lee, M., Choo, J.: Viton-hd: High-resolution virtual try-on via misalignment-aware normalization. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 14131–14140 (2021)
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Chopra, A., Jain, R., Hemani, M., Krishnamurthy, B.: Zflow: Gated appearance flow-based virtual try-on with 3d priors. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5433–5442 (2021)
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Ge, Y., Song, Y., Zhang, R., Ge, C., Liu, W., Luo, P.: Parser-free virtual try-on via distilling appearance flows. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8485–8493 (2021)
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Lewis, K.M., Varadharajan, S., Kemelmacher-Shlizerman, I.: Vogue: Try-on by stylegan interpolation optimization. arXiv e-prints pp. arXiv–2101 (2021)
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Li, K., Chong, M.J., Zhang, J., Liu, J.: Toward accurate and realistic outfits visualization with attention to details. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15546–15555 (2021)
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Xie, Z., Zhang, X., Zhao, F., Dong, H., Kampffmeyer, M.C., Yan, H., Liang, X.: Was-vton: Warping architecture search for virtual try-on network. In: Proceedings of the 29th ACM International Conference on Multimedia. pp. 3350–3359 (2021)
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