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
Video Colorization Benchmark
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Defenses for Image Quality Metrics Benchmark
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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
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
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