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Deep Homography for Efficient Stereo Image Compression

CVPR 2021 · Image generation › Image restoration · approach: Learned image compression · 55 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HESIC+ instead of DSICStereo image compression · InStereo2KBD-PSNR (dB): 0.238 -> 1.373Helped
Use HESIC+ instead of DSICStereo image compression · KITTIBD-PSNR (dB): 0.005 -> 0.920Helped
Use the context-based entropy model instead of the GMM-based entropy modelHESIC stereo image compression · InStereo2KBD-PSNR (dB): 1.312 -> 1.373Helped
Use the context-based entropy model instead of the GMM-based entropy modelHESIC stereo image compression · KITTIBD-PSNR (dB): 0.883 -> 0.920Helped
Add mutual entropy connection between the left and right latent representations (ablation)HESIC · Rate-distortion evaluationPSNRHelped
Add homography regression and spatial transformation (ablation)HESIC · Rate-distortion evaluationPSNRHelped
Add cross quality enhancement (CQE) to the decoder (ablation)HESIC · Rate-distortion evaluationPSNRHelped

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