GitHub

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
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 ...
IEEE

A Conditional Diffusion Model With Fast Sampling Strategy for Remote Sensing Image Super-Resolution

Abstract: Conventional deep learning-based methods for single remote sensing image super-resolution (SRSISR) have made remarkable progress. However, the super-resolution (SR) outputs of these methods ...
IEEE

Advances in Pruning and Quantization for Natural Language Processing

Abstract: With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the ...