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ACORN: Adaptive Coordinate Networks for Neural Scene Representation

ACORN: Adaptive Coordinate Networks for Neural Scene Representation

6 May 2021
Julien N. P. Martel
David B. Lindell
Connor Z. Lin
E. R. Chan
M. Monteiro
Gordon Wetzstein
    3DPC
ArXiv (abs)PDFHTML

Papers citing "ACORN: Adaptive Coordinate Networks for Neural Scene Representation"

34 / 34 papers shown
Title
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
Victor Rong
Jingxiang Chen
Sherwin Bahmani
Kiriakos N. Kutulakos
David B. Lindell
3DGS
94
3
0
19 Sep 2024
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D
  Shapes
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa
Joey Litalien
K. Yin
Karsten Kreis
Charles T. Loop
Derek Nowrouzezahrai
Alec Jacobson
M. McGuire
Sanja Fidler
3DV
91
522
0
26 Jan 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSLSupRCLL
87
676
0
16 Dec 2020
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware
  Image Synthesis
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
E. R. Chan
M. Monteiro
Petr Kellnhofer
Jiajun Wu
Gordon Wetzstein
GAN
119
854
0
02 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
497
2,414
0
18 Oct 2020
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere
  Images
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
Benjamin Attal
Selena Ling
Aaron Gokaslan
Christian Richardt
James Tompkin
61
106
0
14 Aug 2020
Free View Synthesis
Free View Synthesis
Gernot Riegler
V. Koltun
72
357
0
12 Aug 2020
Neural Light Transport for Relighting and View Synthesis
Neural Light Transport for Relighting and View Synthesis
Xiuming Zhang
S. Fanello
Yun-Ta Tsai
Tiancheng Sun
Tianfan Xue
...
Christoph Rhemann
P. Debevec
Jonathan T. Barron
R. Ramamoorthi
William T. Freeman
67
119
0
09 Aug 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
263
1,269
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
140
872
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
124
2,421
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
150
2,556
0
17 Jun 2020
State of the Art on Neural Rendering
State of the Art on Neural Rendering
A. Tewari
Ohad Fried
Justus Thies
Vincent Sitzmann
Stephen Lombardi
...
Christian Theobalt
Maneesh Agrawala
Eli Shechtman
Dan B. Goldman
Michael Zollhöfer
3DH3DV
87
469
0
08 Apr 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D
  Reconstruction
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra
J. E. Lenssen
Eddy Ilg
Tanner Schmidt
Julian Straub
S. Lovegrove
Richard Newcombe
85
465
0
24 Mar 2020
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
308
561
0
19 Mar 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
129
2,594
0
19 Mar 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DVAI4CE
345
986
0
10 Mar 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
122
859
0
24 Feb 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
3DH3DV
71
997
0
16 Dec 2019
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape
  Optimization
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Yue Jiang
Dantong Ji
Zhizhong Han
Matthias Zwicker
61
237
0
15 Dec 2019
DIST: Rendering Deep Implicit Signed Distance Function with
  Differentiable Sphere Tracing
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
Shaohui Liu
Yinda Zhang
Songyou Peng
Boxin Shi
Marc Pollefeys
Zhaopeng Cui
115
285
0
29 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPCFedML
134
511
0
23 Nov 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
69
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
3DPC3DV
163
1,280
0
04 Jun 2019
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle
L. Mescheder
Michael Niemeyer
Thilo Strauss
Andreas Geiger
3DH3DV
97
299
0
17 May 2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human
  Digitization
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Shunsuke Saito
Zeng Huang
Ryota Natsume
Shigeo Morishima
Angjoo Kanazawa
Hao Li
3DH
150
1,258
0
13 May 2019
Deferred Neural Rendering: Image Synthesis using Neural Textures
Deferred Neural Rendering: Image Synthesis using Neural Textures
Justus Thies
Michael Zollhöfer
Matthias Nießner
3DH
79
681
0
28 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
131
3,688
0
16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
241
2,899
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE3DV
148
1,633
0
06 Dec 2018
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
123
668
0
03 Dec 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
60
389
0
06 Jun 2018
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
259
8,842
0
01 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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