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Creating and Reenacting Controllable 3D Humans with Differentiable
  Rendering

Creating and Reenacting Controllable 3D Humans with Differentiable Rendering

22 October 2021
Thiago L. Gomes
Thiago M. Coutinho
Rafael Azevedo
Renato Martins
Erickson R. Nascimento
    3DH
ArXivPDFHTML

Papers citing "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering"

4 / 4 papers shown
Title
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
84
138
0
18 Oct 2020
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
164
1,371
0
01 Feb 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
203
19,191
0
21 Nov 2016
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