1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.MM2024
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology
Shima Mohammadi, Yaojun Wu, João Ascenso
Learning-based image compression methods have emerged as state-of-the-art, showcasing higher performance compared to conventional compression solutions. These data-driven approache…
eess.IV2023★ 1 cited
QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression
Kedeng Tong, Yaojun Wu, Yue Li +3
Learned image compression has exhibited promising compression performance, but variable bitrates over a wide range remain a challenge. State-of-the-art variable rate methods compro…