Our new paper titled Wavefront Parallelization for Efficient Learned Image Compression is accepted by IEEE MMSP 2026! In this work, we proposed a training-free acceleration for autoregressive AI-based image compressors, that can speed up existing models by up to 70 times. Links🔗: arXiv codes
Our team was ranked in 3rd place in NTIRE 2026 Efficient Low-Light Image Enhancement Competition! Check out our technical report "Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net" via arxiv and the official writeup !
I am Shimon Murai, a master course student at Katto Laboratory at Waseda University, Tokyo, Japan. My interests are in Deep Learning, Image Processsing and Neural Image Compression. Check out my papers at Google Scholar. Detailed profiles (in Japanese) are Here!