解决镜面与透明表面的高分辨率深度估计难题
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
- 分双赛道：双目与单图深度估计，针对非朗伯表面
- 4支队伍在双目赛道、4支在单图赛道提交最终结果
- 面向计算机视觉中复杂材质的深度重建研究者
本文报告了与CVPR 2025 NTIRE研讨会联合举办的NTIRE 2025挑战赛——基于镜面与透明表面图像的高分辨率深度估计。该挑战旨在推动深度估计研究，重点解决两大核心难题：高分辨率输出和非朗伯表面建模。挑战设置双目与单图像深度估计两个赛道，共吸引约177名注册参与者。最终测试阶段，双目赛道有4支团队、单图赛道有4支团队提交模型与技术说明。
原文摘要 · Abstract (English)
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.
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