Preprint
Jul 2026
MixCompress: Mixture of Experts for Variable Rate Learned Image Compression
This work proposes MixCompress, a unified VBR framework based on sparse structural specialization that not only matches individually optimized single-rate baselines but can even surpass them, establishing a new Pareto frontier for computationally efficient image coding.
Calvin-Khang Ta, Praneet Singh, Tong Shao et al.
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