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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"

6 / 6 papers shown
Title
Text-guided 3D Human Generation from 2D Collections
Text-guided 3D Human Generation from 2D Collections
Tsu-jui Fu
Wenhan Xiong
Yixin Nie
Jingyu Liu
Barlas Ouguz
William Yang Wang
39
1
0
23 May 2023
AvatarGen: A 3D Generative Model for Animatable Human Avatars
AvatarGen: A 3D Generative Model for Animatable Human Avatars
Jianfeng Zhang
Zihang Jiang
Dingdong Yang
Hongyi Xu
Yichun Shi
Guoxian Song
Zhongcong Xu
Xinchao Wang
Jiashi Feng
3DH
27
76
0
26 Nov 2022
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
98
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
181
1,386
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
222
14,099
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
212
19,447
0
21 Nov 2016
1