QARV++: An Improved Hierarchical VAE for Learned Image Compression
Abstract
values, stabilizing variable-rate training. Extensive experiments demonstrate that QARV++ achieves superior rate-distortion (R-D) performance among HVAE-based LIC models, exhibiting -12.20% -16.34% -15.23% BD-Rate against VVC Intra mode on the Kodak, Tecnick, and CLIC2020 test datasets, respectively. Our approach also generalizes effectively to existing LICs, delivering substantial improvements.
Fields of Study & Subjects
Advanced Data Compression Techniques
Advanced Image Processing Techniques
Image and Video Quality Assessment
Publication details
- Journal / source
- IEEE Transactions on Circuits and Systems for Video Technology
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 36
- Issue
- 6
- Pages
- 7921–7936
- Publication date
- 21 January 2026
- Language
- EN