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20232025
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cs.IT2025

The Rate-Distortion-Perception Trade-Off with Algorithmic Realism

Yassine Hamdi, Aaron B. Wagner, Deniz Gündüz

Realism constraints (or constraints on perceptual quality) have received considerable recent attention within the context of lossy compression, particularly of images. Theoretical…

cs.IT2025

Rate-Distortion-Perception Trade-off with Strong Realism Constraints: Role of Side Information and Common Randomness

Yassine Hamdi, Aaron B. Wagner, Deniz Gündüz

In image compression, with recent advances in generative modeling, existence of a trade-off between the rate and perceptual quality has been brought to light, where the perceptual…

cs.IT2024

The Rate-Distortion-Perception Trade-off: The Role of Private Randomness

Yassine Hamdi, Aaron B. Wagner, Deniz Gündüz

In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality (realism) has been brought to light, whe…

cs.IT2024

Low-Rate, Low-Distortion Compression with Wasserstein Distortion

Yang Qiu, Aaron B. Wagner

Wasserstein distortion is a one-parameter family of distortion measures that was recently proposed to unify fidelity and realism constraints. After establishing continuity results…

cs.IT2024

Optimal Redundancy in Exact Channel Synthesis

Sharang M. Sriramu, Aaron B. Wagner

We consider the redundancy of the exact channel synthesis problem under an i.i.d. assumption. Existing results provide an upper bound on the unnormalized redundancy that is logarit…

cs.IT2023

Wasserstein Distortion: Unifying Fidelity and Realism

Yang Qiu, Aaron B. Wagner, Johannes Ballé +1

We introduce a distortion measure for images, Wasserstein distortion, that simultaneously generalizes pixel-level fidelity on the one hand and realism or perceptual quality on the…