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Pixel synthesis is a promising research paradigm for image generation, which can well exploit pixel-wise prior knowledge for generation.
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Zhang, Z., Xie, Y., Yang, L.: Photographic text-to-image synthesis with a hierarchically-nested adversarial network. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. pp. 6199–6208 (2018)
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Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. pp. 4401–4410 (2019)
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Wang, Y., Qi, L., Chen, Y.C., Zhang, X., Jia, J.: Image synthesis via semantic composition. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 13749–13758 (2021)
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Ji, J., Ma, Y., Sun, X., Zhou, Y., Wu, Y., Ji, R.: Knowing what to learn: A metric-oriented focal mechanism for image captioning. IEEE Transactions on Image Processing
2022
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2022
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