Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency

26 March 2024

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Papers citing "Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency"

29 / 29 papers shown

Title
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis Guangcong Wang Zhaoxi Chen Chen Change Loy Ziwei Liu MDE 146 190 0 28 Mar 2023
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency Minseop Kwak Jiuhn Song Seung Wook Kim 100 46 0 26 Jan 2023
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images Jun Gao Tianchang Shen Zian Wang Wenzheng Chen K. Yin Daiqing Li Or Litany Zan Gojcic Sanja Fidler 97 453 0 22 Sep 2022
ActiveNeRF: Learning where to See with Uncertainty Estimation Xuran Pan Zihang Lai Shiji Song Gao Huang 48 111 0 18 Sep 2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields Soomin Lee Le Chen Jiahao Wang Alexander Liniger Suryansh Kumar Feng Yu 69 70 0 17 Sep 2022
Improved Direct Voxel Grid Optimization for Radiance Fields Reconstruction Cheng Sun Min Sun Hwann-Tzong Chen 86 78 0 10 Jun 2022
NeRF-Editing: Geometry Editing of Neural Radiance Fields Yu-Jie Yuan Yang-Tian Sun Yu-kun Lai Yuewen Ma Rongfei Jia Lin Gao 74 245 0 10 May 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis Matthew Tancik Vincent Casser Xinchen Yan Sabeek Pradhan B. Mildenhall Pratul P. Srinivasan Jonathan T. Barron Henrik Kretzschmar AI4CE 92 826 0 10 Feb 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 344 4,054 0 16 Jan 2022
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting Feitong Tan S. Fanello Abhimitra Meka S. Orts-Escolano Danhang Tang Rohit Pandey Jonathan Taylor P. Tan Yinda Zhang CVBM 3DH 55 45 0 13 Jan 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering Mijeong Kim Seonguk Seo Bohyung Han 129 210 0 31 Dec 2021
Plenoxels: Radiance Fields without Neural Networks Alex Yu Sara Fridovich-Keil Matthew Tancik Qinhong Chen Benjamin Recht Angjoo Kanazawa 280 1,664 0 09 Dec 2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Michael Niemeyer Jonathan T. Barron B. Mildenhall Mehdi S. M. Sajjadi Andreas Geiger Noha Radwan 149 599 0 01 Dec 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
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 115 70 0 05 Sep 2021
Depth-supervised NeRF: Fewer Views and Faster Training for Free Kangle Deng Andrew Liu Jun-Yan Zhu Deva Ramanan 217 890 0 06 Jul 2021
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes Julian Chibane Aayush Bansal Verica Lazova Gerard Pons-Moll 79 246 0 14 Apr 2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Ajay Jain Matthew Tancik Pieter Abbeel 131 504 0 01 Apr 2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo Anpei Chen Zexiang Xu Fuqiang Zhao Xiaoshuai Zhang Fanbo Xiang Jingyi Yu Hao Su 152 803 0 29 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 123 1,989 0 24 Mar 2021
Neural Radiance Flow for 4D View Synthesis and Video Processing Yilun Du Yinan Zhang Hong-Xing Yu J. Tenenbaum Jiajun Wu AI4CE 92 277 0 17 Dec 2020
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 184 1,746 0 03 Dec 2020
Relative Depth Estimation as a Ranking Problem Alican Mertan D. Duff Gözde B. Ünal 113 6 0 14 Oct 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 135 2,449 0 18 Jun 2020
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 100 442 0 07 Oct 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 216 1,803 0 02 Jul 2019
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 188 1,002 0 05 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,938 0 11 Jan 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017