Overfitted image coding at reduced complexity
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Abstract (arXiv)
Overfitted image codecs offer compelling compression performance and low decoder complexity, through the overfitting of a lightweight decoder for each image. Such codecs include Cool-chic, which presents image coding performance on par with VVC while requiring around 2000 multiplications per decoded pixel. This paper proposes to decrease Cool-chic encoding and decoding complexity. The encoding complexity is reduced by shortening Cool-chic training, up to the point where no overfitting is performed at all. It is also shown that a tiny neural decoder with 300 multiplications per pixel still outperforms HEVC. A near real-time CPU implementation of this decoder is made available at https://orange-opensource.github.io/Cool-Chic/.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Mar 2024.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 1.
5 papers.
- 2024Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortioncited by 13
- 2025Compact Latent Representation for Image Compression (CLRIC)cited by 0
- 2025LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transformscited by 0
- 2025TreeNet: A Light Weight Model for Low Bitrate Image Compressioncited by 0
- 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decodingcited by 0
- 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding8 Sep 2026
- 2025TreeNet: A Light Weight Model for Low Bitrate Image Compression18 Dec 2025
- 2025LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms30 Apr 2025
- 2025Compact Latent Representation for Image Compression (CLRIC)20 Feb 2025
- 2024Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion30 Nov 2024