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CAD: Photorealistic 3D Generation via Adversarial Distillation

CAD: Photorealistic 3D Generation via Adversarial Distillation

11 December 2023
Bo Liu
Despoina Paschalidou
Ian Huang
Hongyu Liu
Bokui Shen
Xiaoyu Xiang
Jing Liao
Leonidas Guibas
    DiffM
ArXiv (abs)PDFHTML

Papers citing "CAD: Photorealistic 3D Generation via Adversarial Distillation"

16 / 66 papers shown
Title
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH3DV
71
1,000
0
16 Dec 2019
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
71
158
0
11 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
314
5,828
0
03 Dec 2019
SDM-NET: Deep Generative Network for Structured Deformable Mesh
SDM-NET: Deep Generative Network for Structured Deformable Mesh
Lin Gao
Jie Yang
Tong Wu
Yu-Jie Yuan
Hongbo Fu
Yu-Kun Lai
Hao Zhang
3DV
71
197
0
13 Aug 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
117
1,123
0
25 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yuan Liu
Serge J. Belongie
Bharath Hariharan
3DPC
101
671
0
28 Jun 2019
Learning single-image 3D reconstruction by generative modelling of
  shape, pose and shading
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
Paul Henderson
V. Ferrari
3DV
63
127
0
19 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
602
10,590
0
12 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
71
759
0
22 Oct 2018
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
382
11,905
0
11 Jan 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
145
3,557
0
24 Nov 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
181
4,372
0
20 Mar 2017
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
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
318
4,196
0
21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,016
0
12 Mar 2015
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