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Text-to-3D Shape Generation

Text-to-3D Shape Generation

20 March 2024
Han-Hung Lee
Manolis Savva
Angel X. Chang
ArXivPDFHTML

Papers citing "Text-to-3D Shape Generation"

10 / 10 papers shown
Title
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
K. T. Nguyen
Francesca Tozzi
W. Willaert
J. Vankerschaver
Nikdokht Rashidian
W. D. Neve
DiffM
MedIm
57
0
0
28 Apr 2025
Shap-E: Generating Conditional 3D Implicit Functions
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun
Alex Nichol
DiffM
181
300
0
03 May 2023
Set-the-Scene: Global-Local Training for Generating Controllable NeRF
  Scenes
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Dana Cohen-Bar
Elad Richardson
G. Metzer
Raja Giryes
Daniel Cohen-Or
63
52
0
23 Mar 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and
  Text-to-Image Diffusion Models
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu
Xintao Wang
Weihao Cheng
Yan-Pei Cao
Ying Shan
Xiaohu Qie
Shenghua Gao
169
161
0
28 Dec 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu
Peng Dai
Ruihui Li
Xiaojuan Qi
Chi-Wing Fu
DiffM
159
25
0
09 Sep 2022
ReLU Fields: The Little Non-linearity That Could
ReLU Fields: The Little Non-linearity That Could
Animesh Karnewar
Tobias Ritschel
Oliver Wang
Niloy J. Mitra
126
100
0
22 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
200
1,330
0
24 Jan 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
175
350
0
06 Dec 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins
Shubham Goel
Kenan Deng
Achleshwar Luthra
Leon L. Xu
...
T. F. Y. Vicente
T. Dideriksen
H. Arora
M. Guillaumin
Jitendra Malik
139
216
0
12 Oct 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
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