Author

Calvin-Khang Ta

University of California, Riverside

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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. · arXiv.org · 0 citations