mlsanityData to 7 Oct 2026

Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory

arXiv 2403.14849 ↗First posted 21 Mar 2024cs.IT cs.LG math.ITcited by 5

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Abstract (arXiv)

The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error distortion measure. An explicit expression is obtained when both source and reconstruction distributions are Gaussian. This further leads to a partial characterization of the information-theoretic limit of quadratic Gaussian rate-distortion-perception coding with the perception measure given by Kullback-Leibler divergence or squared quadratic Wasserstein distance.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 21 Mar 2024.

Builds on

9 of 28 references.

References · 9

  1. 2017The Perception-Distortion Tradeoffcited by 582
  2. 2019Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoffcited by 207
  3. 2021Universal Rate-Distortion-Perception Representations for Lossy Compressioncited by 46
  4. 2021A coding theorem for the rate-distortion-perception functioncited by 30
  5. 2021On the advantages of stochastic encoderscited by 28
  6. 2021On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Frameworkcited by 27
  7. 2022The Rate-Distortion-Perception Tradeoff: The Role of Common Randomnesscited by 21
  8. 2023On the Choice of Perception Loss Function for Learned Video Compressioncited by 10
  9. 2024Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measurecited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 1.

5 papers.

  1. 2024Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantizationcited by 4
  2. 2025Rate-Distortion-Perception Theory for the Quadratic Wasserstein Spacecited by 2
  3. 2025Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matricescited by 0
  4. 2025Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTscited by 0
  5. 2026Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representationcited by 0