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Random-Access Neural Compression of Material Textures (nvidia.com)
1 point by bartwr on May 8, 2023 | hide | past | favorite | 1 comment



A new Siggrapg 2023 research paper from NVIDIA that improves the GPU compression by 10-16x while keeping random-access property. It exploits correlation in modern graphics texturing practices (multiple textures describing a single physical material) and at the lowest bitrates, it is competitive with entropy-coded JPEG XL and AVIF formats.

Despite using neural networks, compression time is approximately 1 minute for a 4K 9 channel texture, and the decompression overhead ~0.6ms at 2160p (4K) resolution.

This technique can substantially reduce the download and disk sizes of modern games, reduce the memory usage, or significantly improve the details and quality.




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