AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution

arXiv:2404.03296v1 Announce Type: new
Abstract: Although image super-resolution (SR) problem has experienced unprecedented restoration accuracy with deep neural networks, it has yet limited versatile applications due to the substantial computational costs. Since different input images for SR face different restoration difficulties, adapting computational costs based on the input image, referred to as adaptive inference, has emerged as a promising solution to compress SR networks. Specifically, adapting the quantization bit-widths has successfully reduced the inference and memory cost without sacrificing the …

arxiv cs.cv eess.iv fly image mapping resolution type