3 papers
eess.IV2025
Overview of Variable Rate Coding in JPEG AI
Panqi Jia, Fabian Brand, Dequan Yu +3
Empirical evidence has demonstrated that learning-based image compression can outperform classical compression frameworks. This has led to the ongoing standardization of learned-ba…
eess.IV2024
Multiscale Augmented Normalizing Flows for Image Compression
Marc Windsheimer, Fabian Brand, André Kaup
Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the frequently applied compressive…
eess.IV2024
Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding
Fabian Brand, Jürgen Seiler, André Kaup
Conditional coding is a new video coding paradigm enabled by neural-network-based compression. It can be shown that conditional coding is in theory better than the traditional resi…