This is an old revision of the document!

@inproceedings{9e044f21543f49d4a1fd56113ea6ecd0, title = "Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models", author = "Erik Bylow and Robert Maier and Fredrik Kahl and Carl Olsson", year = "2019", url="https://vision.in.tum.de/_media/spezial/bib/bylow2019combining.pdf", doi = "10.1007/978-3-030-20205-7_22", language = "English", isbn = "9783030202040", series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)", publisher = "Springer", pages = "261–274", editor = "Michael Felsberg and Per-Erik Forss{\'e}n and Jonas Unger and Ida-Maria Sintorn", booktitle = "Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings", address = "Germany", note = "21st Scandinavian Conference on Image Analysis, SCIA 2019 ; Conference date: 11-06-2019 Through 13-06-2019", }

@inproceedings{DBLP:conf/eccv/MildenhallSTBRN20,

author    = {Ben Mildenhall and
             Pratul P. Srinivasan and
             Matthew Tancik and
             Jonathan T. Barron and
             Ravi Ramamoorthi and
             Ren Ng},
editor    = {Andrea Vedaldi and
             Horst Bischof and
             Thomas Brox and
             Jan{-}Michael Frahm},
title     = {NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis},
booktitle = {Computer Vision - {ECCV} 2020 - 16th European Conference, Glasgow,
             UK, August 23-28, 2020, Proceedings, Part {I}},
series    = {Lecture Notes in Computer Science},
volume    = {12346},
pages     = {405--421},
publisher = {Springer},
year      = {2020},
url       = {https://arxiv.org/pdf/2003.08934.pdf},
doi       = {10.1007/978-3-030-58452-8\_24},
timestamp = {Tue, 03 Nov 2020 17:24:58 +0100},
biburl    = {https://dblp.org/rec/conf/eccv/MildenhallSTBRN20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}

}

@article{yariv2020multiview, title={Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance}, author={Yariv, Lior and Kasten, Yoni and Moran, Dror and Galun, Meirav and Atzmon, Matan and Ronen, Basri and Lipman, Yaron}, journal={Advances in Neural Information Processing Systems}, volume={33}, year={2020}, url={https://arxiv.org/pdf/2003.09852.pdf} }

@inproceedings{physg2020, title={PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting}, author={Kai Zhang and Fujun Luan and Qianqian Wang and Kavita Bala and Noah Snavely}, booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021}, url={https://arxiv.org/pdf/2104.00674.pdf}}

@article{luan2021unified, author = {Luan, Fujun and Zhao, Shuang and Bala, Kavita and Dong, Zhao}, title = {Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering}, journal = {ArXiv}, year = {2021}, url={https://www.cs.cornell.edu/~fujun/files/egsr2021/paper.pdf}}

@INPROCEEDINGS{8953655,

author={Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas},
booktitle={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, 
title={Occupancy Networks: Learning 3D Reconstruction in Function Space}, 
year={2019},
volume={},
number={},
pages={4455-4465},
doi={10.1109/CVPR.2019.00459},
url={https://openaccess.thecvf.com/content_CVPR_2019/papers/Mescheder_Occupancy_Networks_Learning_3D_Reconstruction_in_Function_Space_CVPR_2019_paper.pdf}}