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Bayesian Diffusion Models for 3D Shape Reconstruction

Bayesian Diffusion Models for 3D Shape Reconstruction

11 March 2024
Haiyang Xu
Yu Lei
Zeyuan Chen
Xiang Zhang
Yue Zhao
Yilin Wang
Zhuowen Tu
    DiffM
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Papers citing "Bayesian Diffusion Models for 3D Shape Reconstruction"

5 / 5 papers shown
Title
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
Divyansh Srivastava
Xiang Zhang
He Wen
Chenru Wen
Zhuowen Tu
DiffM
26
0
0
07 May 2025
$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D
  Reconstruction
PC2PC^2PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi
Christian Rupprecht
Andrea Vedaldi
DiffM
54
80
0
21 Feb 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
172
719
0
02 Mar 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
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
164
1,939
0
24 Oct 2016
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