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

Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang; Wu Chen; Anlong Ming; Mingshuai Zhao; Mengying Yu; Shida Gao; Xiangfeng Wang; Feng Xue; Jun Shi; Yong Yang; A. Yong; Yixiang Jin; Dingzhe Li; Aryan Shukla; Liam Frija-Altarac; Matthew Toews; Hui Geng; Tianjiao Wan; Zijian Gao; Qisheng Xu; Kele Xu; Zijian Zang; Jameer Babu Pinjari; Kuldeep Purohit; Mykola Lavreniuk; Jing Cao; Shenyi Li; Kui Jiang; Junjun Jiang; Y. Huang

doi:10.1109/CVPRW67362.2025.00098

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

Pierluigi Zama Ramirez
, Fabio Tosi
, Luigi Di Stefano
, Radu Timofte
, Alex Costanzino
, Matteo Poggi
, Samuele Salti
, Stefano Mattoccia
, Zhe Zhang
, Yang Yang
, Wu Chen
, Anlong Ming
, Mingshuai Zhao
, Mengying Yu
, Shida Gao
, Xiangfeng Wang
, Feng Xue
, Jun Shi
, Yong Yang
, A. Yong

Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Y. Huang

Résultats de recherche: Chapitre dans un livre, rapport, actes de conférence › Participation à un ouvrage collectif lié à un colloque ou une conférence › Revue par des pairs

25 Citations (Scopus)

Résumé

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.

langue originale	Anglais
titre	Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025
Editeur	IEEE Computer Society
Pages	978-992
Nombre de pages	15
ISBN (Electronique)	9798331599942
Les DOIs	https://doi.org/10.1109/CVPRW67362.2025.00098
état	Publié - 2025
Evénement	2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025 - Nashville, Etats-Unis Durée: 11 juin 2025 → 12 juin 2025

Série de publications

Nom	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (imprimé)	2160-7508
ISSN (Electronique)	2160-7516

Conférence

Conférence	2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025
Pays/Territoire	Etats-Unis
La ville	Nashville
période	11/06/25 → 12/06/25

Accès au document

10.1109/CVPRW67362.2025.00098

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Voici les principaux termes ou expressions associés à « NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces ». Ces libellés thématiques sont générés à partir du titre et du résumé de la publication. Ensemble, ils forment une empreinte digitale unique.

Contient cette citation

Ramirez, P. Z., Tosi, F., Di Stefano, L., Timofte, R., Costanzino, A., Poggi, M., Salti, S., Mattoccia, S., Zhang, Z., Yang, Y., Chen, W., Ming, A., Zhao, M., Yu, M., Gao, S., Wang, X., Xue, F., Shi, J., Yang, Y., ... Huang, Y. (2025). NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. Dans Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025 (p. 978-992). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE Computer Society. https://doi.org/10.1109/CVPRW67362.2025.00098

Ramirez, Pierluigi Zama ; Tosi, Fabio ; Di Stefano, Luigi et al. / NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society, 2025. p. 978-992 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

@inproceedings{4c4706ea72684ce8b09614f8e3cc2c8c,

title = "NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces",

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.",

keywords = "challenge, depth, mono, stereo, transparent",

author = "Ramirez, \{Pierluigi Zama\} and Fabio Tosi and \{Di Stefano\}, Luigi and Radu Timofte and Alex Costanzino and Matteo Poggi and Samuele Salti and Stefano Mattoccia and Zhe Zhang and Yang Yang and Wu Chen and Anlong Ming and Mingshuai Zhao and Mengying Yu and Shida Gao and Xiangfeng Wang and Feng Xue and Jun Shi and Yong Yang and A. Yong and Yixiang Jin and Dingzhe Li and Aryan Shukla and Liam Frija-Altarac and Matthew Toews and Hui Geng and Tianjiao Wan and Zijian Gao and Qisheng Xu and Kele Xu and Zijian Zang and Pinjari, \{Jameer Babu\} and Kuldeep Purohit and Mykola Lavreniuk and Jing Cao and Shenyi Li and Kui Jiang and Junjun Jiang and Y. Huang",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025 ; Conference date: 11-06-2025 Through 12-06-2025",

year = "2025",

doi = "10.1109/CVPRW67362.2025.00098",

language = "English",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

pages = "978--992",

booktitle = "Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025",

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Ramirez, PZ, Tosi, F, Di Stefano, L, Timofte, R, Costanzino, A, Poggi, M, Salti, S, Mattoccia, S, Zhang, Z, Yang, Y, Chen, W, Ming, A, Zhao, M, Yu, M, Gao, S, Wang, X, Xue, F, Shi, J, Yang, Y, Yong, A, Jin, Y, Li, D, Shukla, A, Frija-Altarac, L, Toews, M, Geng, H, Wan, T, Gao, Z, Xu, Q, Xu, K, Zang, Z, Pinjari, JB, Purohit, K, Lavreniuk, M, Cao, J, Li, S, Jiang, K, Jiang, J & Huang, Y 2025, NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. Dans Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, p. 978-992, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025, Nashville, Etats-Unis, 11/06/25. https://doi.org/10.1109/CVPRW67362.2025.00098

NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. / Ramirez, Pierluigi Zama; Tosi, Fabio; Di Stefano, Luigi et al.
Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society, 2025. p. 978-992 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Résultats de recherche: Chapitre dans un livre, rapport, actes de conférence › Participation à un ouvrage collectif lié à un colloque ou une conférence › Revue par des pairs

TY - GEN

T1 - NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces

AU - Ramirez, Pierluigi Zama

AU - Tosi, Fabio

AU - Di Stefano, Luigi

AU - Timofte, Radu

AU - Costanzino, Alex

AU - Poggi, Matteo

AU - Salti, Samuele

AU - Mattoccia, Stefano

AU - Zhang, Zhe

AU - Yang, Yang

AU - Chen, Wu

AU - Ming, Anlong

AU - Zhao, Mingshuai

AU - Yu, Mengying

AU - Gao, Shida

AU - Wang, Xiangfeng

AU - Xue, Feng

AU - Shi, Jun

AU - Yang, Yong

AU - Yong, A.

AU - Jin, Yixiang

AU - Li, Dingzhe

AU - Shukla, Aryan

AU - Frija-Altarac, Liam

AU - Toews, Matthew

AU - Geng, Hui

AU - Wan, Tianjiao

AU - Gao, Zijian

AU - Xu, Qisheng

AU - Xu, Kele

AU - Zang, Zijian

AU - Pinjari, Jameer Babu

AU - Purohit, Kuldeep

AU - Lavreniuk, Mykola

AU - Cao, Jing

AU - Li, Shenyi

AU - Jiang, Kui

AU - Jiang, Junjun

AU - Huang, Y.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - challenge

KW - depth

KW - mono

KW - stereo

KW - transparent

UR - https://www.scopus.com/pages/publications/105017862661

U2 - 10.1109/CVPRW67362.2025.00098

DO - 10.1109/CVPRW67362.2025.00098

M3 - Contribution to conference proceedings

AN - SCOPUS:105017862661

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SP - 978

EP - 992

BT - Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025

PB - IEEE Computer Society

T2 - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025

Y2 - 11 June 2025 through 12 June 2025

ER -

Ramirez PZ, Tosi F, Di Stefano L, Timofte R, Costanzino A, Poggi M et al. NTIRE 2025 Challenge on HR Depth From Images of Specular and Transparent Surfaces. Dans Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society. 2025. p. 978-992. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW67362.2025.00098