Thermal Image Super-Resolution Challenge Results - PBVS 2024

Rafael E. Rivadeneira, Angel D. Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 3113-3122


This paper outlines the advancements and results of the Fifth Thermal Image Super-Resolution challenge hosted at the Perception Beyond the Visible Spectrum CVPR 2024 workshop. The challenge employed a novel benchmark cross-spectral dataset consisting of 1000 thermal images each paired with its corresponding registered RGB image. The challenge featured two tracks: Track-1 focused on Single Thermal Image Super-Resolution with an x8 upscale factor while Track-2 extended its evaluation to include both x8 and x16 scaling factors utilizing high-resolution RGB images to guide the super-resolution process for low-resolution thermal images. The participation of over 175 teams highlights the research community's strong engagement and dedication to enhancing image resolution techniques across both single and cross-spectral methodologies. This year's challenge sets new benchmarks and provides valuable insights into future directions for research in thermal image super-resolution.

Related Material

@InProceedings{Rivadeneira_2024_CVPR, author = {Rivadeneira, Rafael E. and Sappa, Angel D. and Wang, Chenyang and Jiang, Junjun and Zhong, Zhiwei and Chen, Peilin and Wang, Shiqi}, title = {Thermal Image Super-Resolution Challenge Results - PBVS 2024}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3113-3122} }