Fetching the paper…
Reading the bibliography…
With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached an unprecedented level.
Marching cubes: A high resolution 3D surface construction algorithm. In Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1987, Anaheim, California, USA, July 27-31, 1987 , Maureen C. Stone (Ed.). ACM, 163–169
William E. Lorensen and Harvey E. Cline. 1987 · 1987
Earlier work this paper cites.
Surface simplification using quadric error metrics. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1997, Los Angeles, CA, USA, August 3-8, 1997 , G. Scott Owen, Turner Whitted, and Barbara Mones-Hattal (Eds.). ACM, 209–216
Michael Garland and Paul S. Heckbert. 1997 · 1997
Earlier work this paper cites.
Perfect spatial hashing
Sylvain Lefebvre and Hugues Hoppe. 2006 · 2006
Earlier work this paper cites.
Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari. 2020 · 2007
Earlier work this paper cites.
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020 · 2010
Earlier work this paper cites.
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. In Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 9906) , Bastian Leibe, Jiri Matas, Nicu Sebe, and Max Welling (Eds.). Springer, 694–711
Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2016 · 2016
Earlier work this paper cites.
Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets
Guillaume Loubet and Fabrice Neyret. 2017 · 2017
Earlier work this paper cites.
PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada , Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman Garnett (Eds.). 8024–8035
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Earlier work this paper cites.
Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
Earlier work this paper cites.
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.)
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, and Yaron Lipman. 2020 · 2020
Earlier work this paper cites.
FastNeRF: High-Fidelity Neural Rendering at 200FPS. In ICCV . IEEE, 14326–14335
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien P. C. Valentin. 2021 · 2021
Earlier work this paper cites.
Baking Neural Radiance Fields for Real-Time View Synthesis. In ICCV . IEEE, 5855–5864
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul E. Debevec. 2021 · 2021
Cited alongside, same era.
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual , Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan (Eds.). 6087–6101
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler. 2021 · 2021
Cited alongside, same era.
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual . 27171–27183
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021 · 2021
Cited alongside, same era.
Plenoxels: Radiance Fields without Neural Networks. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 5491–5500
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022 · 2022
Later among the works it cites.
Gengyan Li, Abhimitra Meka, Franziska Müller, Marcel C. Bühler, and Otmar Hilliges. 2022 · 2022
Later among the works it cites.
NeRF: representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2022 · 2022
Later among the works it cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
NeX: Real-Time View Synthesis With Neural Basis Expansion. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 8534–8543
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn. 2021 · 2021
Cited alongside, same era.
Volume Rendering of Neural Implicit Surfaces. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual , Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan (Eds.). 4805–4815
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021
Cited alongside, same era.
PlenOctrees for Real-time Rendering of Neural Radiance Fields. In ICCV . IEEE, 5732–5741
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021 · 2021
Cited alongside, same era.
PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 5453–5462
Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, and Noah Snavely. 2021 · 2021
Cited alongside, same era.
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 5460–5469
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2022 · 2022
Cited alongside, same era.
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
Aljaz Bozic, Denis Gladkov, Luke Doukakis, and Christoph Lassner. 2022 · 2022
Cited alongside, same era.
Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, and Andrea Tagliasacchi. 2022 · 2022
Cited alongside, same era.
Extracting Triangular 3D Models, Materials, and Lighting From Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 8270–8280
Jacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans, Tianchang Shen, Thomas Müller, Jun Gao, and Sanja Fidler. 2022 · 2022
Later among the works it cites.
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 5449–5459
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022 · 2022
Later among the works it cites.
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 5481–5490
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, and Pratul P. Srinivasan. 2022 · 2022
Later among the works it cites.
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing
Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, and Guofeng Zhang. 2022 · 2022
Later among the works it cites.
NeRF-Editing: Geometry Editing of Neural Radiance Fields
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao. 2022 · 2022
Later among the works it cites.
Instant Volumetric Head Avatars
Wojciech Zielonka, Timo Bolkart, and Justus Thies. 2022 · 2022
Later among the works it cites.