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Recent studies in lossy compression show that distortion and perceptual quality are at odds with each other, which put forward the tradeoff between distortion and perception (D-P).
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Blau, Y. and Michaeli, T · 2019
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Semantic scene completion from a single depth image
Song, S., Yu, F., Zeng, A., Chang, A. X., Savva, M., and Funkhouser, T. A · 2017
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Full resolution image compression with recurrent neural networks
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The perception-distortion tradeoff
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Deep generative models for distribution-preserving lossy compression
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A gan-based tunable image compression system
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A theory of the distortion-perception tradeoff in wasserstein space
Freirich, D., Michaeli, T., and Meir, R · 2021
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Soft then hard: Rethinking the quantization in neural image compression
Guo, Z., Zhang, Z., Feng, R., and Chen, Z · 2021
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High perceptual quality image denoising with a posterior sampling CGAN
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Universal rate-distortion-perception representations for lossy compression
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Optimal transport for unsupervised denoising learning
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