@inproceedings{3d3fb700b59d4b79801ddd1ecddd9754,
title = "CONTENT-AWARE SUPERVISION FOR DIFFUSION-BASED RESTORATION OF EXTREMELY COMPRESSED BACKGROUND FOR VCM",
abstract = "We propose content-aware supervision (CAS) techniques for diffusion-based restoration of an extremely compressed background for video coding for machines (VCM). First, we develop a CAS block to exploit prior information in an input image to reconstruct the noisy image, which is used as the input for the pretrained diffusion model. Then, we construct a refinement block to guide the pretrained diffusion model at each diffusion step by incorporating a degradation model and correction gradient estimation. Experimental results demonstrate the proposed algorithm outperforms state-of-the-art algorithms.",
keywords = "diffusion model, Image generation, image restoration, video coding for machines (VCM)",
author = "Dao, {Le Thi Hue} and Vien, {An Gia} and Jooyoung Lee and Seyoon Jeong and Naeun Yang and Chul Lee",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 31st IEEE International Conference on Image Processing, ICIP 2024 ; Conference date: 27-10-2024 Through 30-10-2024",
year = "2024",
doi = "10.1109/ICIP51287.2024.10648159",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1683--1689",
booktitle = "2024 IEEE International Conference on Image Processing, ICIP 2024 - Proceedings",
address = "United States",
}