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

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Main Authors: Ramirez, Pierluigi Zama, Tosi, Fabio, Di Stefano, Luigi, Timofte, Radu, Costanzino, Alex, Poggi, Matteo, Salti, Samuele, Mattoccia, Stefano, Zhang, Zhe, Yang, Yang, Chen, Wu, Ming, Anlong, Zhao, Mingshuai, Yu, Mengying, Gao, Shida, Wang, Xiangfeng, Xue, Feng, Shi, Jun, Yang, Yong, A, Yong, Jin, Yixiang, Li, Dingzhe, Shukla, Aryan, Frija-Altarac, Liam, Toews, Matthew, Geng, Hui, Wan, Tianjiao, Gao, Zijian, Xu, Qisheng, Xu, Kele, Zang, Zijian, Pinjari, Jameer Babu, Purohit, Kuldeep, Lavreniuk, Mykola, Cao, Jing, Li, Shenyi, Jiang, Kui, Jiang, Junjun, Huang, Yong
Format: Preprint
Published: 2025
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author Ramirez, Pierluigi Zama
Tosi, Fabio
Di Stefano, Luigi
Timofte, Radu
Costanzino, Alex
Poggi, Matteo
Salti, Samuele
Mattoccia, Stefano
Zhang, Zhe
Yang, Yang
Chen, Wu
Ming, Anlong
Zhao, Mingshuai
Yu, Mengying
Gao, Shida
Wang, Xiangfeng
Xue, Feng
Shi, Jun
Yang, Yong
A, Yong
Jin, Yixiang
Li, Dingzhe
Shukla, Aryan
Frija-Altarac, Liam
Toews, Matthew
Geng, Hui
Wan, Tianjiao
Gao, Zijian
Xu, Qisheng
Xu, Kele
Zang, Zijian
Pinjari, Jameer Babu
Purohit, Kuldeep
Lavreniuk, Mykola
Cao, Jing
Li, Shenyi
Jiang, Kui
Jiang, Junjun
Huang, Yong
author_facet Ramirez, Pierluigi Zama
Tosi, Fabio
Di Stefano, Luigi
Timofte, Radu
Costanzino, Alex
Poggi, Matteo
Salti, Samuele
Mattoccia, Stefano
Zhang, Zhe
Yang, Yang
Chen, Wu
Ming, Anlong
Zhao, Mingshuai
Yu, Mengying
Gao, Shida
Wang, Xiangfeng
Xue, Feng
Shi, Jun
Yang, Yong
A, Yong
Jin, Yixiang
Li, Dingzhe
Shukla, Aryan
Frija-Altarac, Liam
Toews, Matthew
Geng, Hui
Wan, Tianjiao
Gao, Zijian
Xu, Qisheng
Xu, Kele
Zang, Zijian
Pinjari, Jameer Babu
Purohit, Kuldeep
Lavreniuk, Mykola
Cao, Jing
Li, Shenyi
Jiang, Kui
Jiang, Junjun
Huang, Yong
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_05815
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Ramirez, Pierluigi Zama
Tosi, Fabio
Di Stefano, Luigi
Timofte, Radu
Costanzino, Alex
Poggi, Matteo
Salti, Samuele
Mattoccia, Stefano
Zhang, Zhe
Yang, Yang
Chen, Wu
Ming, Anlong
Zhao, Mingshuai
Yu, Mengying
Gao, Shida
Wang, Xiangfeng
Xue, Feng
Shi, Jun
Yang, Yong
A, Yong
Jin, Yixiang
Li, Dingzhe
Shukla, Aryan
Frija-Altarac, Liam
Toews, Matthew
Geng, Hui
Wan, Tianjiao
Gao, Zijian
Xu, Qisheng
Xu, Kele
Zang, Zijian
Pinjari, Jameer Babu
Purohit, Kuldeep
Lavreniuk, Mykola
Cao, Jing
Li, Shenyi
Jiang, Kui
Jiang, Junjun
Huang, Yong
Computer Vision and Pattern Recognition
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.
title NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2506.05815