FaDeN: Fast Depth-Supervised NeRFs with RGB-D Cameras

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
3
Authors
Mustaniemi, Janne; Liu, Li; Heikkilä, Janne

Publication channel information

Title of host publication
Computer Analysis of Images and Patterns: 21st International Conference, CAIP 2025, Las Palmas de Gran Canaria, Spain, September 22–25, 2025, Proceedings, Part I
Editors of host publication
Castrillón-Santana, M., et al.
ISBN (print)
978-3-032-04967-4
ISBN (electronic)
978-3-032-04968-1
Name of conference
Computer Analysis of Images and Patterns
Title of journal/series
Lecture notes in computer science
ISSN (print)
0302-9743
ISSN (electronic)
1611-3349
ISSN (linking)
0302-9743
Publisher
Springer
Publication forum ID
62555
Publication forum level
1
Country of publication
Switzerland
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
2026; 15621
Page numbers
341-352
DOI
10.1007/978-3-032-04968-1_29
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
3D reconstruction; Depth map; Novel view synthesis
Additional information
First Online: 17 September 2025

Funding information

Funding information in the publication
This research was supported by the European Union through the EU Interreg Aurora project IMMERSE (20366448), and the Infotech Project FRAGES.
Funders
Funder
European Union
Name of funding
IMMERSE
Funding decision
20366448

Research data information

Identifiers
Dataset identifier
-

Source database ID

Scopus ID
2-s2.0-105017378129