NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
Meta Superintelligence Labs releases Muse Spark, its first model after a 9-month stack rebuild. It leads on health benchmarks ...
In this post, we will cover some of the best ways to compress images without losing quality, either a single image or in bulk, online, or using free Windows software. At times, you might need to ...
Abstract: This paper presents an arithmetic coding scheme for DCT coefficients in video compression, in which the number of non-zero coefficients, significant map and level information for a DCT block ...
Morning Overview on MSN
Nvidia demo shows neural texture compression can cut VRAM use by up to 85%
Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
Abstract: 2D image coding for machines (ICM) has achieved great success in coding efficiency, while less effort has been devoted to stereo image fields. To promote the efficiency of stereo image ...
TurboQuant turbo2 2M (CLI) ~1.4 tok/s Confirmed (CLI only) KVTC K2V4 ~1.4M est. 65 tok/s Integration in progress KVTC K1V3 ~2.1M est. 60 tok/s Integration in progress PCA Decorrelation — Project KV ...
2025-05-20: This repo is released. Training consists of two stages. In the first stage, we train hyper-encoders. In the second stage, we fine-tune both hyper-encoders and OSCAR's UNet with LoRA.
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