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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

24 March 2021
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
ArXivPDFHTML

Papers citing "Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields"

16 / 116 papers shown
Title
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo
  Collections
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martín Brualla
Noha Radwan
Mehdi S. M. Sajjadi
Jonathan T. Barron
Alexey Dosovitskiy
Daniel Duckworth
110
1,486
0
05 Aug 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
249
1,262
0
22 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
127
870
0
05 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
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
113
2,410
0
18 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
114
2,597
0
19 Mar 2020
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH
3DV
69
991
0
16 Dec 2019
DeepView: View Synthesis with Learned Gradient Descent
DeepView: View Synthesis with Learned Gradient Descent
John Flynn
M. Broxton
P. Debevec
Matthew DuVall
Graham Fyffe
Ryan S. Overbeck
Noah Snavely
Richard Tucker
65
448
0
18 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
151
1,278
0
04 Jun 2019
Local Light Field Fusion: Practical View Synthesis with Prescriptive
  Sampling Guidelines
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
B. Mildenhall
Pratul P. Srinivasan
Rodrigo Ortiz Cayon
N. Kalantari
R. Ramamoorthi
Ren Ng
Abhishek Kar
76
486
0
02 May 2019
Pushing the Boundaries of View Extrapolation with Multiplane Images
Pushing the Boundaries of View Extrapolation with Multiplane Images
Pratul P. Srinivasan
Richard Tucker
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
Noah Snavely
65
335
0
01 May 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
89
797
0
25 Apr 2019
DeepVoxels: Learning Persistent 3D Feature Embeddings
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann
Justus Thies
Felix Heide
Matthias Nießner
Gordon Wetzstein
Michael Zollhöfer
SSL
3DPC
MDE
112
667
0
03 Dec 2018
Stereo Magnification: Learning View Synthesis using Multiplane Images
Stereo Magnification: Learning View Synthesis using Multiplane Images
Tinghui Zhou
Richard Tucker
John Flynn
Graham Fyffe
Noah Snavely
3DV
72
381
0
24 May 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
211
4,626
0
16 Apr 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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