加载中…
2025-06-06
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama RamirezFabio TosiLuigi Di StefanoRadu TimofteAlex CostanzinoMatteo PoggiSamuele SaltiStefano MattocciaZhe ZhangYang YangWu ChenAnlong MingMingshuai ZhaoMengying YuShida GaoXiangfeng WangFeng XueJun ShiYong YangYong AYixiang JinDingzhe LiAryan ShuklaLiam Frija-AltaracMatthew ToewsHui GengTianjiao WanZijian GaoQisheng XuKele XuZijian ZangJameer Babu PinjariKuldeep PurohitMykola LavreniukJing CaoShenyi LiKui JiangJunjun JiangYong Huang
文献摘要
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.
讨论
0讲解博客
生成讲解博客的中文版本
AI智能校验
生成AI智能校验的中文版本