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Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
v1v2 (latest)

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

30 May 2022
Jiemin Fang
Taoran Yi
Xinggang Wang
Lingxi Xie
Xiaopeng Zhang
Wenyu Liu
Matthias Nießner
Qi Tian
    VGen
ArXiv (abs)PDFHTML

Papers citing "Fast Dynamic Radiance Fields with Time-Aware Neural Voxels"

11 / 61 papers shown
Title
Nerfies: Deformable Neural Radiance Fields
Nerfies: Deformable Neural Radiance Fields
Keunhong Park
U. Sinha
Jonathan T. Barron
Sofien Bouaziz
Dan B. Goldman
S. M. Seitz
Ricardo Martín Brualla
3DH
184
1,144
0
25 Nov 2020
NeRF++: Analyzing and Improving Neural Radiance Fields
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang
Gernot Riegler
Noah Snavely
V. Koltun
95
1,046
0
15 Oct 2020
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
140
1,504
0
05 Aug 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
277
1,276
0
22 Jul 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
133
2,592
0
19 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Stephen Lombardi
Tomas Simon
Jason M. Saragih
Gabriel Schwartz
Andreas M. Lehrmann
Yaser Sheikh
3DH
76
281
0
18 Jun 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
SSL3DPCMDE
152
669
0
03 Dec 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
384
11,938
0
11 Jan 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
354
20,136
0
07 Oct 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
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