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Diffusion Priors In Variational Autoencoders

Diffusion Priors In Variational Autoencoders

29 June 2021
Antoine Wehenkel
Gilles Louppe
    DiffM
ArXivPDFHTML

Papers citing "Diffusion Priors In Variational Autoencoders"

13 / 13 papers shown
Title
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction
Khai Phan Tran
Wen Hua
Xue Li
SyDa
93
0
0
18 Dec 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
45
1
0
05 Jan 2024
Diffusion Models with Deterministic Normalizing Flow Priors
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand
Ali Etemad
Michael A. Greenspan
DiffM
34
2
0
03 Sep 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and
  Reconstruction
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Hansheng Chen
Jiatao Gu
Anpei Chen
Wei Tian
Zhuowen Tu
Lingjie Liu
Haoran Su
VGen
DiffM
58
146
0
13 Apr 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
23
1
0
20 Feb 2023
NVDiff: Graph Generation through the Diffusion of Node Vectors
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
28
21
0
19 Nov 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
63
859
0
07 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
226
1,314
0
02 Sep 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based
  Deep Generative Models
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
39
25
0
31 May 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for
  Image Generation
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
18
41
0
03 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
58
417
0
30 Nov 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
659
0
10 Jun 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
309
10,378
0
12 Dec 2018
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