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Learning to Generate 3D Shapes from a Single Example

Learning to Generate 3D Shapes from a Single Example

5 August 2022
Rundi Wu
Changxi Zheng
    GAN
    3DV
ArXivPDFHTML

Papers citing "Learning to Generate 3D Shapes from a Single Example"

10 / 10 papers shown
Title
Phidias: A Generative Model for Creating 3D Content from Text, Image,
  and 3D Conditions with Reference-Augmented Diffusion
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Zhenwei Wang
Tengfei Wang
Zexin He
Gerhard Hancke
Ziwei Liu
Rynson W. H. Lau
DiffM
33
5
0
17 Sep 2024
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned
  Geometry Enhancement
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
Qimin Chen
Zhiqin Chen
Vladimir G. Kim
Noam Aigerman
Hao Zhang
Siddhartha Chaudhuri
47
3
0
10 Sep 2024
SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs
SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs
Jing Yang
Kyle Fogarty
Fangcheng Zhong
Cengiz Oztireli
47
1
0
10 Jun 2024
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D
  Generation
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo
Wooseok Jang
Minseop Kwak
Ines Hyeonsu Kim
Jaehoon Ko
Junho Kim
Jin-Hwa Kim
Jiyoung Lee
Seung Wook Kim
DiffM
41
135
0
14 Mar 2023
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
Minjung Son
Jeong Joon Park
Leonidas J. Guibas
Gordon Wetzstein
27
12
0
30 Nov 2022
SinDDM: A Single Image Denoising Diffusion Model
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov
Shahar Yadin
Matan Kleiner
T. Michaeli
DiffM
18
77
0
29 Nov 2022
Text2Mesh: Text-Driven Neural Stylization for Meshes
Text2Mesh: Text-Driven Neural Stylization for Meshes
O. Michel
Roi Bar-On
Richard Liu
Sagie Benaim
Rana Hanocka
CLIP
AI4CE
190
351
0
06 Dec 2021
Diverse Generation from a Single Video Made Possible
Diverse Generation from a Single Video Made Possible
Niv Haim
Ben Feinstein
Niv Granot
Assaf Shocher
Shai Bagon
Tali Dekel
Michal Irani
DiffM
VGen
39
18
0
17 Sep 2021
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
232
971
0
10 Mar 2020
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
171
1,940
0
24 Oct 2016
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