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Unsupervised Learning of Efficient Geometry-Aware Neural Articulated
  Representations
v1v2 (latest)

Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations

19 April 2022
Atsuhiro Noguchi
Xiao Sun
Stephen Lin
Tatsuya Harada
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations"

10 / 60 papers shown
Title
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,468
0
13 Jan 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
11,905
0
11 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
173
7,376
0
27 Oct 2017
Learning from Synthetic Humans
Learning from Synthetic Humans
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
127
976
0
05 Jan 2017
3D Shape Induction from 2D Views of Multiple Objects
3D Shape Induction from 2D Views of Multiple Objects
Matheus Gadelha
Subhransu Maji
Rui Wang
GAN
59
296
0
18 Dec 2016
3D Menagerie: Modeling the 3D shape and pose of animals
3D Menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi
Angjoo Kanazawa
David Jacobs
Michael J. Black
3DH
99
388
0
23 Nov 2016
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
313
1,958
0
24 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
432
43,814
0
01 May 2014
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