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GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
v1v2v3v4v5 (latest)

GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation

4 December 2023
Jie Wang
Jiucheng Xie
Xianyan Li
Feng Xu
Chi-Man Pun
Hao Gao
    3DGS
ArXiv (abs)PDFHTML

Papers citing "GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation"

15 / 65 papers shown
Title
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao
Zihui Du
Junhui Hou
Yaqi Duan
Yong Liu
Ying He
3DPC
84
37
0
13 Jul 2021
Volume Rendering of Neural Implicit Surfaces
Volume Rendering of Neural Implicit Surfaces
Lior Yariv
Jiatao Gu
Yoni Kasten
Y. Lipman
3DV
108
1,048
0
22 Jun 2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo
  Collection
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Zhenyu Zhang
Yanhao Ge
Renwang Chen
Ying Tai
Yan Yan
Jian Yang
Chengjie Wang
Jilin Li
Feiyue Huang
CVBM3DH
48
26
0
15 Jun 2021
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar
  Reconstruction
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
G. Gafni
Justus Thies
Michael Zollhöfer
Matthias Nießner
3DH
103
511
0
05 Dec 2020
MODNet: Real-Time Trimap-Free Portrait Matting via Objective
  Decomposition
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
Zhanghan Ke
Jiayu Sun
Kaican Li
Qiong Yan
Rynson W. H. Lau
58
161
0
24 Nov 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
123
1,502
0
05 Aug 2020
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Justus Thies
Michael Zollhöfer
Marc Stamminger
Christian Theobalt
Matthias Nießner
3DHPICVCVBM
68
1,919
0
29 Jul 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DVAI4CE
349
991
0
10 Mar 2020
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
133
3,707
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
251
2,908
0
10 Dec 2018
Riemannian Adaptive Optimization Methods
Riemannian Adaptive Optimization Methods
Gary Bécigneul
O. Ganea
ODL
106
259
0
01 Oct 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
11,920
0
11 Jan 2018
Morphable Face Models - An Open Framework
Morphable Face Models - An Open Framework
Thomas Gerig
Andreas Morel-Forster
Clemens Blumer
Bernhard Egger
M. Lüthi
Sandro Schönborn
T. Vetter
CVBM3DH
60
269
0
25 Sep 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
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