eWeek

How to Colorize and Restore Old Photos With AI

Learn how to safely restore and colorize old family photos using ChatGPT and Google Gemini with subtle prompts that preserve ...
IEEE

BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression

Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...
Scientific Research Publishing

Tolerance of the ERP Signatures of Unfamiliar versus Familiar Face Perception to Spatial Quantization of Facial Images ()

Processing of faces as stimuli is known to be associated with a conspicuous ERP component N170. Processing of fa-miliar faces is found to be associated with an increased amplitude of the ERP ...
IEEE

RefQSR: Reference-Based Quantization for Image Super-Resolution Networks

Abstract: Single image super-resolution (SISR) aims to reconstruct a high-resolution image from its low-resolution observation. Recent deep learning-based SISR models show high performance at the ...
GitHub

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

This repo contains the official code of our ECCV2024 paper: MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization We design MixDQ, a ...
GitHub

microsoft/vptq

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...