DilateQuant is a novel quantization-aware training (QAT) framework for accelerating diffusion models. It maintains high-quality image generation at 4-bit and 6-bit precision. Specifically, we find the ...
Abstract: Based on event-triggering and quantization mechanisms, a fuzzy adaptive quantization saturation control problem has been investigated for a class of nonlinear systems. The unknown components ...
TL;DR: Researchers from the University of California developed Mic-E-Mouse, an AI-powered tool that exploits high-DPI optical sensors in gaming mice to eavesdrop on speech by detecting surface ...
A training-free scheduler adaptation for quantized diffusion models. Use an off-the-shelf pre-trained model and adapt it's scheduler for faster inference. Text-to-image diffusion models are ...
This file type includes high resolution graphics and schematics when applicable. Analog-to-digital converters (ADCs) provide the vital transformation of analog signals into digital code in many ...