Random-Access Neural Compression of Material Textures
The continuous advancement of photorealism in rendering is accompaniedby a growth in texture data and, consequently, increasing storage and memory demands. To address this issue, we propose a novel neural compressiontechnique specifically designed for material textures. We unlock two morelevels of detail, i.e., 16× more texels, using low bitrate compression, withimage quality that is better than a