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Differentiable Rendering with Reparameterized Volume Sampling

21 February 2023

Dmitry Vetrov

Papers citing "Differentiable Rendering with Reparameterized Volume Sampling"

22 / 22 papers shown

Title
NerfAcc: A General NeRF Acceleration Toolbox Ruilong Li Matthew Tancik Angjoo Kanazawa 65 86 0 10 Oct 2022
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields A. Kurz Thomas Neff Zhaoyang Lv Michael Zollhöfer M. Steinberger 76 73 0 21 Jul 2022
EfficientNeRF: Efficient Neural Radiance Fields T. Hu Shu Liu Yilun Chen Tiancheng Shen Jiaya Jia 70 122 0 02 Jun 2022
TensoRF: Tensorial Radiance Fields Anpei Chen Zexiang Xu Andreas Geiger Jingyi Yu Hao Su 111 1,311 0 17 Mar 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 338 4,045 0 16 Jan 2022
Plenoxels: Radiance Fields without Neural Networks Alex Yu Sara Fridovich-Keil Matthew Tancik Qinhong Chen Benjamin Recht Angjoo Kanazawa 280 1,663 0 09 Dec 2021
NeuSample: Neural Sample Field for Efficient View Synthesis Jiemin Fang Lingxi Xie Xinggang Wang Xiaopeng Zhang Wenyu Liu Qi Tian 109 23 0 30 Nov 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron B. Mildenhall Dor Verbin Pratul P. Srinivasan Peter Hedman 205 1,694 0 23 Nov 2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction Cheng Sun Min Sun Hwann-Tzong Chen 130 1,079 0 22 Nov 2021
NeRF in detail: Learning to sample for view synthesis Relja Arandjelović Andrew Zisserman 73 42 0 09 Jun 2021
PlenOctrees for Real-time Rendering of Neural Radiance Fields Alex Yu Ruilong Li Matthew Tancik Hao Li Ren Ng Angjoo Kanazawa 88 1,076 0 25 Mar 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs Christian Reiser Songyou Peng Yiyi Liao Andreas Geiger 55 825 0 25 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 121 1,984 0 24 Mar 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton Julien P. C. Valentin 97 646 0 18 Mar 2021
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks Thomas Neff P. Stadlbauer Mathias Parger A. Kurz J. H. Mueller C. R. A. Chaitanya Anton Kaplanyan M. Steinberger 83 300 0 04 Mar 2021
AutoInt: Automatic Integration for Fast Neural Volume Rendering David B. Lindell Julien N. P. Martel Gordon Wetzstein 67 268 0 03 Dec 2020
DeRF: Decomposed Radiance Fields Daniel Rebain Wei Jiang S. Yazdani Ke Li K. M. Yi Andrea Tagliasacchi 82 207 0 25 Nov 2020
NeRF++: Analyzing and Improving Neural Radiance Fields Kai Zhang Gernot Riegler Noah Snavely V. Koltun 93 1,046 0 15 Oct 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 269 1,276 0 22 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 126 2,440 0 18 Jun 2020
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 150 831 0 19 Jan 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015