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NTIRE 2023 Challenge on HR Depth from Images of...
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NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces

Abstract

This paper reports about the NTIRE 2023 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2023. This challenge is held to boost the research on depth estimation, mainly to deal with two of the open issues in the field: high-resolution images and non-Lambertian surfaces characterizing specular and transparent materials. The challenge is divided into two tracks: a stereo track focusing on disparity estimation from rectified pairs and a mono track dealing with single-image depth estimation. The challenge attracted about 100 registered participants for the two tracks. In the final testing stage, 5 participating teams submitted their models and fact sheets, 2 and 3 for the Stereo and Mono tracks, respectively.

Authors

Ramirez PZ; Tosi F; Di Stefano L; Timofte R; Costanzino A; Poggi M; Salti S; Mattoccia S; Shi J; Zhang D

Volume

00

Pagination

pp. 1384-1395

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

June 24, 2023

DOI

10.1109/cvprw59228.2023.00143

Name of conference

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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