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Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

16 December 2019
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
    3DH
    3DV
ArXivPDFHTML

Papers citing "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

28 / 228 papers shown
Title
Dynamic View Synthesis from Dynamic Monocular Video
Dynamic View Synthesis from Dynamic Monocular Video
Chen Gao
Ayush Saraf
Johannes Kopf
Jia-Bin Huang
18
403
0
13 May 2021
Editing Conditional Radiance Fields
Editing Conditional Radiance Fields
Steven Liu
Xiuming Zhang
Zhoutong Zhang
Richard Y. Zhang
Jun-Yan Zhu
Bryan C. Russell
AI4CE
17
257
0
13 May 2021
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
Sida Peng
Junting Dong
Qianqian Wang
Shangzhan Zhang
Qing Shuai
Xiaowei Zhou
Hujun Bao
3DH
AI4CE
48
370
0
06 May 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for
  Multi-View Reconstruction
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle
Songyou Peng
Andreas Geiger
13
736
0
20 Apr 2021
Convolutional Neural Opacity Radiance Fields
Convolutional Neural Opacity Radiance Fields
Haimin Luo
Anpei Chen
Qixuan Zhang
Bai Pang
Minye Wu
Lan Xu
Jingyi Yu
AI4CE
25
19
0
05 Apr 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
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
8
1,905
0
24 Mar 2021
Neural Lumigraph Rendering
Neural Lumigraph Rendering
Petr Kellnhofer
Lars Jebe
Andrew Jones
Ryan P. Spicer
K. Pulli
Gordon Wetzstein
3DV
3DH
16
146
0
22 Mar 2021
An Effective Loss Function for Generating 3D Models from Single 2D Image
  without Rendering
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering
Nikola Zubić
Pietro Lió
3DV
14
17
0
05 Mar 2021
IBRNet: Learning Multi-View Image-Based Rendering
IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang
Zhicheng Wang
Kyle Genova
Pratul P. Srinivasan
Howard Zhou
Jonathan T. Barron
Ricardo Martín Brualla
Noah Snavely
Thomas Funkhouser
3DV
51
776
0
25 Feb 2021
Learning Compositional Radiance Fields of Dynamic Human Heads
Learning Compositional Radiance Fields of Dynamic Human Heads
Ziyan Wang
Timur M. Bagautdinov
Stephen Lombardi
Tomas Simon
Jason M. Saragih
Jessica Hodgins
Michael Zollhöfer
3DH
AI4CE
14
89
0
17 Dec 2020
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Mingyue Yang
Yuxin Wen
Weikai Chen
Y. Chen
K. Jia
13
32
0
14 Dec 2020
INeRF: Inverting Neural Radiance Fields for Pose Estimation
INeRF: Inverting Neural Radiance Fields for Pose Estimation
Yen-Chen Lin
Peter R. Florence
Jonathan T. Barron
Alberto Rodriguez
Phillip Isola
Tsung-Yi Lin
36
447
0
10 Dec 2020
pixelNeRF: Neural Radiance Fields from One or Few Images
pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu
Vickie Ye
Matthew Tancik
Angjoo Kanazawa
38
1,697
0
03 Dec 2020
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
25
153
0
26 Nov 2020
Space-time Neural Irradiance Fields for Free-Viewpoint Video
Space-time Neural Irradiance Fields for Free-Viewpoint Video
Wenqi Xian
Jia-Bin Huang
Johannes Kopf
Changil Kim
3DH
36
452
0
25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
49
955
0
24 Nov 2020
Neural Scene Graphs for Dynamic Scenes
Neural Scene Graphs for Dynamic Scenes
Julian Ost
Fahim Mannan
Nils Thuerey
Julian Knodt
Felix Heide
GNN
OCL
AI4CE
26
297
0
20 Nov 2020
Dynamic Plane Convolutional Occupancy Networks
Dynamic Plane Convolutional Occupancy Networks
S. Lionar
D. Emtsev
Dusan Svilarkovic
Songyou Peng
3DPC
3DV
17
37
0
11 Nov 2020
Implicit Feature Networks for Texture Completion from Partial 3D Data
Implicit Feature Networks for Texture Completion from Partial 3D Data
Julian Chibane
Gerard Pons-Moll
3DPC
3DV
3DH
12
44
0
20 Sep 2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
Jiahui Lei
Srinath Sridhar
Paul Guerrero
Minhyuk Sung
Niloy Mitra
Leonidas J. Guibas
3DV
25
29
0
18 Aug 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
31
864
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
54
2,335
0
18 Jun 2020
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction
Edgar Sucar
Kentaro Wada
Andrew J. Davison
OCL
3DH
3DV
17
113
0
09 Apr 2020
Learning Implicit Surface Light Fields
Learning Implicit Surface Light Fields
Michael Oechsle
Michael Niemeyer
L. Mescheder
Thilo Strauss
Andreas Geiger
3DH
3DV
29
43
0
27 Mar 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting
  1D Occupancy Segments From 2D Coordinates
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
Zhizhong Han
Guanhui Qiao
Yu-Shen Liu
Matthias Zwicker
3DPC
3DV
46
32
0
12 Mar 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured
  2D Data
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Sebastian Lunz
Yingzhen Li
Andrew Fitzgibbon
Nate Kushman
3DV
GAN
17
54
0
28 Feb 2020
Deep Mesh Reconstruction from Single RGB Images via Topology
  Modification Networks
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
J. Pan
Xiaoguang Han
Weikai Chen
Jiapeng Tang
K. Jia
98
190
0
01 Sep 2019
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
168
1,940
0
24 Oct 2016
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