NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces

TL;DR

The NTIRE 2025 challenge focuses on advancing high-resolution depth estimation from images of specular and transparent surfaces, addressing key issues like non-Lambertian surfaces and promoting progress through competitive tracks.

Contribution

This challenge introduces two new tracks on stereo and single-image depth estimation for non-Lambertian surfaces, fostering innovation and collaboration in the field.

Findings

177 participants registered for the challenge

4 teams submitted models for each track

The challenge highlights progress in high-resolution depth estimation

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.