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On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction
  and An Optimal Training Framework

On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework

5 June 2021
Zeyu Yan
Fei Wen
R. Ying
Chao Ma
Peilin Liu
ArXivPDFHTML

Papers citing "On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework"

6 / 6 papers shown
Title
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Sadaf Salehkalaibar
Jun Chen
Ashish Khisti
Wei Yu
55
11
0
22 Jan 2024
Idempotence and Perceptual Image Compression
Idempotence and Perceptual Image Compression
Tongda Xu
Ziran Zhu
Dailan He
Yanghao Li
Lina Guo
...
Zhe Wang
Hongwei Qin
Yan Wang
Jingjing Liu
Ya-Qin Zhang
43
15
0
17 Jan 2024
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by
  Semantic Segmentation
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
DiffM
VLM
29
4
0
06 Sep 2023
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
28
77
0
17 Jun 2022
Universal Rate-Distortion-Perception Representations for Lossy
  Compression
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang
Jingjing Qian
Jun Chen
Ashish Khisti
15
66
0
18 Jun 2021
End-to-end optimization of nonlinear transform codes for perceptual
  quality
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
70
244
0
18 Jul 2016
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