Efficient Generative Image Compression with Quantized Latents Refinement

Hao Cao, Yinhuan Huang, Wenqi Guo, Zhijin Qin, Jungong Han · 2026 · arXiv

DOI: 10.48550/arXiv.2610.29691 · open-access PDF

Abstract

Generative image compression (GIC) delivers strong perceptual quality at low bitrates. However, GIC methods with strong perceptual quality often rely on pretrained diffusion models with high latency, while recent lightweight GIC methods reduce latency but deliver lower perceptual quality. We observe that, for lightweight GIC methods at low bitrates, coarse deterministic quantization can collapse nearby encoder latents corresponding to different fine details to the same point, making these details difficult to recover. Motivated by this, we propose GR-GIC, an efficient GIC that delivers competi

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