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In this paper, we present ECSIC, a novel learned method for stereo imagecompression. Our proposed method compresses the left and right images in ajoint manner by exploiting the mutual information between the images of thestereo image pair using a novel stereo cross attention (SCA) module and twostereo context modules. The SCA module performs cross-attention restricted tothe corresponding epipolar lines of the two images and processes them inparallel. The stereo context modules improve the entropy estimation of thesecond encoded image by using the first image as a context. We conduct anextensive ablation study demonstrating the effectiveness of the proposedmodules and a comprehensive quantitative and qualitative comparison withexisting methods. ECSIC achieves state-of-the-art performance in stereo imagecompression on the two popular stereo image datasets Cityscapes and InStereo2kwhile allowing for fast encoding and decoding.

ECSIC: Epipolar Cross Attention for Stereo Image Compression