Nvidia Uses Neural Network for Innovative Texture Compression Method

Nvidia this week launched a brand new texture compression technique that delivers 4 occasions larger decision than conventional Block Minimize Encoding (BTC, BC) strategies whereas having comparable storage necessities. The essential idea of the proposed strategy is to batch compress a number of materials textures and their mipmap chains after which decompress them utilizing a neural community skilled for the actual mannequin it opens. Theoretically, the strategy may even affect future GPU architectures. Nonetheless, for now, the strategy has limitations.

(Picture credit score: Nvidia)

New Necessities

Current advances in real-time rendering for video video games have approached the visible high quality of flicks as a result of using methods akin to physically-based shading, ray tracing, path tracing, and noise elimination for correct world illumination for photorealistic modeling of supplies. In the meantime, texturing methods have not really progressed at the same tempo as a result of texture compression strategies have remained mainly the identical as they have been within the late Nineties, and so in some circumstances many objects seem blurry at shut vary.

#Nvidia #Neural #Community #Modern #Texture #Compression #Technique

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