2022
SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention
CVPR 2022poster
We propose a learned method for stereo image compression that leverages the similarity of the left and right images in a stereo pair due to overlapping fields of view. The left image is compressed by a learned compression method based on an autoencoder with a hyperprior entropy model. The right imag…