超拟合图像压缩新模型，编码快10倍，压缩率更高。
Cool-chic 5.0: Faster Encoding and Inter-Feature Entropy Modeling for Overfitted Image Compression
- 设计新解码器结构与优化流程，显著降低编码迭代次数。
- 相比最新传统编码器H.266/VVC，码率减少11%。
- 解码复杂度仅为现代自编码器的1/250，适合低功耗设备。
超拟合编码器通过在编码阶段学习针对特定内容的解码器来压缩图像，以增加编码复杂度换取优异的压缩性能和低解码复杂度。本文提出酷潮5.0（Cool-chic 5.0），是酷潮系列的最新版本，包含更新的解码器架构与改进的优化过程。该模型在编码迭代次数上比所有现有超拟合编码器减少10倍，相较最先进的传统编码器H.266/VVC实现-11%的码率降低，同时在性能上媲美现代自编码器如MLIC++，且解码复杂度低250倍。代码已开源：https://github.com/Orange-OpenSource/Cool-Chic。
原文摘要 · Abstract (English)
Overfitted codecs compress an image by learning a decoder tailored to the content during the encoding. As such, they trade increased encoding complexity for strong compression performance and low decoding complexity. This work introduces Cool-chic 5.0, the latest version in the Cool-chic series of overfitted codecs, featuring an updated decoder architecture and an improved optimization process. Cool-chic 5.0 outperforms all overfitted codecs with 10 times less encoding iterations. It offers -11% rate reduction compared to the state-of-the-art conventional codec H.266/VVC. It is also competitive with modern autoencoders such as MLIC++ while featuring a decoding complexity 250 times lower. This work is made open-source at https://github.com/Orange-OpenSource/Cool-Chic.
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