AMD’s PEPS Research Could Improve Neural Texture Compression

AMD has presented new research called PEPS, or Positional Encoding Projected Sampling, which aims to improve neural texture ...
Phys.org

Scientists develop neural networks to enhance spectral data compression efficiency for new vacuum solar telescope

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed an advanced neural network-based method to improve the compression of ...
TechSpot

AMD's neural texture compression could reduce storage and VRAM requirements

Something to look forward to: High-resolution textures are a primary factor behind the growing install sizes and VRAM usage in modern blockbuster games. Nvidia proposed a neural-network-based method ...
Hosted 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 their preprint, can significantly reduce the texture memory footprint during ...
TweakTown

Intel's Texture Set Neural Compression will also save big on VRAM usage when gaming

TL;DR: Intel's Texture Set Neural Compression uses AI to drastically reduce texture memory and storage needs by up to 18 times with minimal visual quality loss. Available later this year as an SDK, it ...
ExtremeTech

Nvidia's Neural Textures Are a VRAM Game Changer

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Digital Trends

AMD just revealed a game-changing feature for your graphics card

AMD is set to reveal a research paper about its technique for neural texture block compression at the Eurographics Symposium on Rendering (EGSR) next week. It sounds like some technobabble, but the ...
EurekAlert!

Compression using automatically differentiable tensor networks: Fewer parameters with equal or better performance

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...