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Rodin: A Generative Model for Sculpting 3D Digital Avatars Using
  Diffusion

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

12 December 2022
Tengfei Wang
Bo Zhang
Ting Zhang
Shuyang Gu
Jianmin Bao
T. Baltrušaitis
Jingjing Shen
Dong Chen
Fang Wen
Qifeng Chen
B. Guo
ArXivPDFHTML

Papers citing "Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion"

45 / 95 papers shown
Title
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
241
3,552
0
20 Dec 2021
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation
Yu Deng
Jiaolong Yang
Jianfeng Xiang
Xin Tong
3DH
47
248
0
16 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDa
DiffM
99
423
0
30 Nov 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu
Dong Chen
Jianmin Bao
Fang Wen
Bo Zhang
Dongdong Chen
Lu Yuan
B. Guo
DiffM
119
781
0
29 Nov 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
131
1,659
0
23 Nov 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann
Richard Vencu
Romain Beaumont
R. Kaczmarczyk
Clayton Mullis
Aarush Katta
Theo Coombes
J. Jitsev
Aran Komatsuzaki
VLM
MLLM
CLIP
180
1,398
0
03 Nov 2021
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent
  Pixel Synthesis
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
Peng Zhou
Lingxi Xie
Bingbing Ni
Qi Tian
53
174
0
19 Oct 2021
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image
  Synthesis
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
Jiatao Gu
Lingjie Liu
Peng Wang
Christian Theobalt
VGen
60
554
0
18 Oct 2021
Fake It Till You Make It: Face analysis in the wild using synthetic data
  alone
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
Erroll Wood
Tadas Baltruvsaitis
Charlie Hewitt
Sebastian Dziadzio
Matthew W. Johnson
V. Estellers
T. Cashman
Jamie Shotton
CVBM
52
261
0
30 Sep 2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
Eduard Ramon
G. Triginer
Janna Escur
Albert Pumarola
Jaime García
Xavier Giró-i-Nieto
Francesc Moreno-Noguer
3DH
88
96
0
26 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
148
7,639
0
11 May 2021
Learning Skeletal Articulations with Neural Blend Shapes
Learning Skeletal Articulations with Neural Blend Shapes
Peizhuo Li
Kfir Aberman
Rana Hanocka
Libin Liu
O. Sorkine-Hornung
Baoquan Chen
3DH
66
70
0
06 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou
Yilun Du
Jiajun Wu
DiffM
83
521
0
08 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Myeonghun Jeong
Hyeongju Kim
Sung Jun Cheon
Byoung Jin Choi
N. Kim
DiffM
52
194
0
03 Apr 2021
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik
Zongze Wu
Eli Shechtman
Daniel Cohen-Or
Dani Lischinski
CLIP
VLM
64
1,204
0
31 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
83
493
0
08 Mar 2021
Style-based Point Generator with Adversarial Rendering for Point Cloud
  Completion
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Chulin Xie
Chuxin Wang
Bo Zhang
Hao Yang
Dong Chen
Fang Wen
3DPC
40
82
0
03 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
233
733
0
02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
327
4,873
0
24 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
189
3,621
0
18 Feb 2021
Towards Real-World Blind Face Restoration with Generative Facial Prior
Towards Real-World Blind Face Restoration with Generative Facial Prior
Xintao Wang
Yu Li
Honglun Zhang
Ying Shan
CVBM
56
440
0
11 Jan 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
97
2,890
0
17 Dec 2020
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware
  Image Synthesis
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
E. R. Chan
M. Monteiro
Petr Kellnhofer
Jiajun Wu
Gordon Wetzstein
GAN
82
848
0
02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
268
6,293
0
26 Nov 2020
Nerfies: Deformable Neural Radiance Fields
Nerfies: Deformable Neural Radiance Fields
Keunhong Park
U. Sinha
Jonathan T. Barron
Sofien Bouaziz
Dan B. Goldman
S. M. Seitz
Ricardo Martín Brualla
3DH
115
1,123
0
25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
134
958
0
24 Nov 2020
Learning Gradient Fields for Shape Generation
Learning Gradient Fields for Shape Generation
Ruojin Cai
Guandao Yang
Hadar Averbuch-Elor
Jinwei Gu
Serge J. Belongie
Noah Snavely
B. Hariharan
3DPC
75
281
0
14 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
84
155
0
06 Aug 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
58
900
0
08 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
119
868
0
05 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
299
17,550
0
19 Jun 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
91
2,395
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
101
2,516
0
17 Jun 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
93
2,601
0
19 Mar 2020
Towards Unsupervised Learning of Generative Models for 3D Controllable
  Image Synthesis
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
Yiyi Liao
Katja Schwarz
L. Mescheder
Andreas Geiger
3DV
53
158
0
11 Dec 2019
Unsupervised Generative 3D Shape Learning from Natural Images
Unsupervised Generative 3D Shape Learning from Natural Images
Attila Szabó
Givi Meishvili
Paolo Favaro
GAN
3DH
3DV
43
68
0
01 Oct 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
66
2,322
0
06 Jun 2019
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From
  Single Image to Image Set
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Yu Deng
Jiaolong Yang
Sicheng Xu
Dong Chen
Yunde Jia
Xin Tong
CVBM
3DV
3DH
49
692
0
20 Mar 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
93
3,654
0
16 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
508
10,500
0
12 Dec 2018
Deep Appearance Models for Face Rendering
Deep Appearance Models for Face Rendering
Stephen Lombardi
Jason M. Saragih
Tomas Simon
Yaser Sheikh
CVBM
3DH
46
283
0
01 Aug 2018
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
252
1,949
0
24 Oct 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
48
578
0
15 Aug 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
185
10,202
0
27 Mar 2016
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