Thermal Image Super-Resolution Challenge Results - PBVS 2025

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Rafael E. Rivadeneira, Ángel D. Sappa, Riad I. Hammoud, Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao, Zhiwei Zhong, Yung-Hui Li, Shiqi Wang, Qiangqiang Shen, Hanzhang Wang, Xuanqi Zhang

Published: 01 Jan 2025, Last Modified: 20 Oct 2025CVPR Workshops 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This paper presents the results of the Sixth Thermal Image Super-Resolution Challenge held within the Perception Beyond the Visible Spectrum (PBVS) workshop at CVPR 2025. The challenge maintains the same cross-spectral benchmark dataset as the previous year, consisting of 1000 thermal images each paired with corresponding high-resolution RGB images. Track 1 focuses on single thermal image superresolution, enhancing low-resolution infrared images by a factor of x8, whereas Track 2 addresses guided thermal image super-resolution, performing super-resolution at scale factors of x8 and x16 by leveraging high-resolution RGB images as auxiliary inputs. The 2025 edition attracted increased participation, with 128 teams competing in Track 1 and 86 teams in Track 2. The paper describes methodologies employed by the top participating teams, emphasizing innovations in transformer-based and hybrid architectures, and provides a detailed comparative analysis of the results between the 2024 and 2025 challenges. This analysis reveals significant progress in thermal image reconstruction accuracy, showcasing notable advances achieved by the leading methodologies.