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  Stereo Radiance Fields (SRF): Learning View Synthesis from Sparse Views of Novel Scenes

Chibane, J., Bansal, A., Lazova, V., & Pons-Moll, G. (2021). Stereo Radiance Fields (SRF): Learning View Synthesis from Sparse Views of Novel Scenes. In IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-326F-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-5678-1
Genre: Conference Paper
Latex : Stereo Radiance Fields {(SRF)}: {L}earning View Synthesis from Sparse Views of Novel Scenes

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 Creators:
Chibane, Julian1, Author           
Bansal, Aayush2, Author
Lazova, Verica1, Author           
Pons-Moll, Gerard1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: chibane21srf
 Degree: -

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Title: 34th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Virtual Conference
Start-/End Date: 2021-06-19 - 2021-06-25

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2021
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -