The List of the Participants of the Learning-Based Image Compression Benchmark

Codec Type Implementation Year
Cheng learning-based CompressAI 2020
VTM (VVC) traditional GitLab 2020*
libavif (AVIF) traditional GitHub 2019*
libheif (HEIF) traditional GitHub 2015*
HM (HEVC) traditional GitLab 2013*
FFmpeg jpeg2000 (JPEG 2000) traditional ffmpeg.org 2000*
openjpeg (JPEG 2000) traditional GitHub 2000*
libjxl (JPEG XL) traditional GitHub 2022*
jpegli (JPEG) traditional GitHub 1992*
libjpeg-turbo (JPEG) traditional libjpeg-turbo.org 1992*
EVC learning-based GitHub 2023
TCM learning-based GitHub 2023
Qres34 learning-based GitHub 2023
MBT2018 learning-based CompressAI 2018
STF learning-based GitHub 2022

* Standard release date
25 Jun 2024
See Also
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
Video Colorization Benchmark
Explore the best video colorization algorithms
Defenses for Image Quality Metrics Benchmark
Explore defenses from adv attacks
Learning-Based Image Compression Benchmark
The First extensive comparison of Learned Image Compression algorithms
Super-Resolution Quality Metrics Benchmark
Discover 66 Super-Resolution Quality Metrics and choose the most appropriate for your videos
Video Saliency Prediction Benchmark
Explore the best video saliency prediction (VSP) algorithms
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