3 papers
cs.IT2026
Training-Free Rate-Distortion-Perception Traversal With Diffusion
Yuhan Wang, Suzhi Bi, Ying-Jun Angela Zhang
The rate-distortion-perception (RDP) tradeoff characterizes the fundamental limits of lossy compression by jointly considering bitrate, reconstruction fidelity, and perceptual qual…
cs.CV2025
Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
Yuhan Wang, Suzhi Bi, Ying-Jun Angela Zhang +1
The distortion-perception (DP) tradeoff reveals a fundamental conflict between distortion metrics (e.g., MSE and PSNR) and perceptual quality. Recent research has increasingly conc…
cs.IT2025
Task-Oriented Lossy Compression with Data, Perception, and Classification Constraints
Yuhan Wang, Youlong Wu, Shuai Ma +1
By extracting task-relevant information while maximally compressing the input, the information bottleneck (IB) principle has provided a guideline for learning effective and robust…