FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions (bibtex)
by T Yenamandra, A Tewari, N Yang, F Bernard, C Theobalt and D Cremers
Reference:
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions (T Yenamandra, A Tewari, N Yang, F Bernard, C Theobalt and D Cremers), In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. ([Project page],[ArXiv])
Bibtex Entry:
@inproceedings{yenamandra2024fire,
 author = {T Yenamandra and A Tewari and N Yang and F Bernard and C Theobalt and D Cremers},
 title = {FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions},
 booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
 month = {January},
 year = {2024},
 pages = {3077-3087},
}
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FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions (bibtex)
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions (bibtex)
by T Yenamandra, A Tewari, N Yang, F Bernard, C Theobalt and D Cremers
Reference:
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions (T Yenamandra, A Tewari, N Yang, F Bernard, C Theobalt and D Cremers), In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. ([Project page],[ArXiv])
Bibtex Entry:
@inproceedings{yenamandra2024fire,
 author = {T Yenamandra and A Tewari and N Yang and F Bernard and C Theobalt and D Cremers},
 title = {FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions},
 booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
 month = {January},
 year = {2024},
 pages = {3077-3087},
}
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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