SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (bibtex)
by M Brahimi, B Haefner, T Yenamandra, B Goldluecke and D Cremers
Reference:
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (M Brahimi, B Haefner, T Yenamandra, B Goldluecke and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. ([supp])
Bibtex Entry:
@inproceedings{brahimi2022arxiv,
 title = {{SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering}},
 author = {M Brahimi and B Haefner and T Yenamandra and B Goldluecke and D Cremers},
 booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
 month = {January},
 address = {Hawaii, USA},
 year = {2024},
 eprint = {2212.04968},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 titleurl = {brahimi2022arxiv.pdf},
 keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}
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SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (bibtex)
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (bibtex)
by M Brahimi, B Haefner, T Yenamandra, B Goldluecke and D Cremers
Reference:
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (M Brahimi, B Haefner, T Yenamandra, B Goldluecke and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. ([supp])
Bibtex Entry:
@inproceedings{brahimi2022arxiv,
 title = {{SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering}},
 author = {M Brahimi and B Haefner and T Yenamandra and B Goldluecke and D Cremers},
 booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
 month = {January},
 address = {Hawaii, USA},
 year = {2024},
 eprint = {2212.04968},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 titleurl = {brahimi2022arxiv.pdf},
 keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}
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members:yenamand

Table of Contents

Tarun Yenamandra

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: Tarun.Yenamandra@in.tum.de

Research Interests

Generative models, model-based learning, convex relaxations, geometric deep learning, 3D/4D reconstructions, and differentiable rendering.

Education

M.Sc. Informatik, Saarland University, 2020.
B.E. Electronics and Communication Engineering, Osmania University, 2011.

Publications