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STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in
  Motion with Neural Rendering

STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering

22 December 2020
Wentao Yuan
Zhaoyang Lv
Tanner Schmidt
S. Lovegrove
ArXivPDFHTML

Papers citing "STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering"

20 / 20 papers shown
Title
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
Delin Qu
Qizhi Chen
Pingrui Zhang
Xianqiang Gao
Bin Zhao
Bin Zhao
Dong Wang
Xuelong Li
AI4CE
76
8
0
23 Jun 2024
NeRF++: Analyzing and Improving Neural Radiance Fields
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang
Gernot Riegler
Noah Snavely
V. Koltun
83
1,041
0
15 Oct 2020
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
Mojtaba Bemana
K. Myszkowski
Hans-Peter Seidel
Tobias Ritschel
48
50
0
01 Oct 2020
Monocular Differentiable Rendering for Self-Supervised 3D Object
  Detection
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
D. Beker
Hiroharu Kato
Mihai Morariu
Takahiro Ando
Toru Matsuoka
Wadim Kehl
Adrien Gaidon
3DPC
MDE
71
39
0
30 Sep 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
110
1,491
0
05 Aug 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
254
1,266
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
129
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
116
2,414
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
125
2,548
0
17 Jun 2020
Self-Supervised Monocular Scene Flow Estimation
Self-Supervised Monocular Scene Flow Estimation
Junhwa Hur
Stefan Roth
3DPC
MDE
49
102
0
08 Apr 2020
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths
  from a Monocular Camera
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
Jae Shin Yoon
Kihwan Kim
Orazio Gallo
H. Park
Jan Kautz
MDE
3DV
53
169
0
02 Apr 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
122
2,595
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
995
0
16 Dec 2019
Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
SSL
MDE
67
246
0
12 Jul 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
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
120
3,680
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
236
2,894
0
10 Dec 2018
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D
  Holistic Understanding
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo
Zhenheng Yang
Peng Wang
Yanjie Wang
Wenyuan Xu
Ram Nevatia
Alan Yuille
3DPC
45
289
0
14 Oct 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera
  Motion, Optical Flow and Motion Segmentation
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Anurag Ranjan
Varun Jampani
Lukas Balles
Kihwan Kim
Deqing Sun
Jonas Wulff
Michael J. Black
SSL
56
591
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
363
11,784
0
11 Jan 2018
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