XDA Developers on MSN

I built a Python utility using Claude to automate my image editing workflow, and it saves me hours every week

Vibe-coding your problems away doesn't get easier than this ...
IEEE

JND-LIC: Learned Image Compression via Just Noticeable Difference for Human Visual Perception

Abstract: Existing human visual perception-oriented image compression methods well maintain the perceptual quality of compressed images, but they may introduce fake details into the compressed images, ...
IEEE

Learned Image Compression via Local-to-Global Cross-Component Prior

Abstract: Learned image compression (LIC) methods have shown promising results and achieved superior performance compared to traditional image compression methods. Due to the neglect of the ...
GitHub

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

Does every token in the CoT output contribute equally to deriving the answer? —— We say NO! We introduce TokenSkip, a simple yet effective approach that enables LLMs to selectively skip redundant ...
the-decoder

Alibaba's Qwen-Image-2.0 doubles compression and cuts generation steps from 40 to 4

Alibaba's technical report on Qwen-Image-2.0 lays out how the team squeezed more efficiency out of both training and inference. The big moves: a harder-compressing VAE, a reworked image transformer, ...