Vibe-coding your problems away doesn't get easier than this ...
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 ...
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 ...
Abstract: Existing deep learning-based image compression methods overlook the unique properties of screen content images (SCIs), like limited color values and abundant repetitive patterns, leading to ...
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, ...
This repository provides the minimal training-code release of SANA-SR. It follows the paper implementation while intentionally keeping only the lowest-level training pipeline required to reproduce the ...
The attack on the Trellix source code repository disclosed last week has been claimed by the RansomHouse threat group, which leaked a small set of images as proof of the intrusion. Yesterday, the ...