This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement (NTIRE) workshop at CVPR 2025. This challenge aims to advance the research on depth estimation, specifically to address two of the main open issues in the field: high-resolution and non-Lambertian surfaces. The challenge proposes two tracks on stereo and single-image depth estimation, attracting about 177 registered participants. In the final testing stage, 4 and 4 participating teams submitted their models and fact sheets for the two tracks.
Ramirez, P.Z., Tosi, F., Di Stefano, L., Timofte, R., Costanzino, A., Poggi, M., et al. (2025). NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. IEEE Computer Society [10.1109/CVPRW67362.2025.00098].
NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces
Tosi F.;Di Stefano L.;Costanzino A.;Poggi M.;Salti S.;Mattoccia S.;
2025
Abstract
This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement (NTIRE) workshop at CVPR 2025. This challenge aims to advance the research on depth estimation, specifically to address two of the main open issues in the field: high-resolution and non-Lambertian surfaces. The challenge proposes two tracks on stereo and single-image depth estimation, attracting about 177 registered participants. In the final testing stage, 4 and 4 participating teams submitted their models and fact sheets for the two tracks.| File | Dimensione | Formato | |
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Ramirez_NTIRE_2025_Challenge_on_HR_Depth_from_Images_of_Specular_CVPRW_2025_paper.pdf
embargo fino al 15/09/2026
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