HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression

arXiv:2404.13372v1 Announce Type: cross
Abstract: This paper investigates the challenging problem of learned image compression (LIC) with extreme low bitrates. Previous LIC methods based on transmitting quantized continuous features often yield blurry and noisy reconstruction due to the severe quantization loss. While previous LIC methods based on learned codebooks that discretize visual space usually give poor-fidelity reconstruction due to the insufficient representation power of limited codewords in capturing faithful details. We propose a novel dual-stream framework, HyrbidFlow, which combines the …

abstract arxiv compression continuity continuous cs.cv eess.iv features image loss low paper quantization type