Litcius/Paper detail

Thermal Image Super-Resolution Challenge Results - PBVS 2024

Rafael E. Rivadeneira, Ángel D. Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang

202419 citationsDOI

Abstract

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 ×8 upscale factor, while Track-2 extended its evaluation to include both ×8 and ×16 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.

Topics & Concepts

Computer visionComputer scienceImage resolutionImage (mathematics)Artificial intelligenceCalibration and Measurement TechniquesRadiative Heat Transfer StudiesThermography and Photoacoustic Techniques