EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...
Morning Overview on MSN
Nvidia demos neural texture compression, claiming 85% less VRAM use
Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...
NVIDIA shows neural rendering cuts VRAM use, reduces game storage, and improves performance without changing visual quality ...
Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...
NVIDIA has shared additional information on its Neural Texture Compression technology, a rendering method designed to reduce ...
Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...
In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...
Intel and Nvidia show off how textures -- which take up a large chunk of PC games -- could be compressed to save you money ...
The authors demonstrated in simulations that their approach can be used to perform image classification tasks with the same accuracy as digital neural networks. In the future, the authors are planning ...
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