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Variational Diffusion Auto-encoder: Latent Space Extraction from
  Pre-trained Diffusion Models
v1v2 (latest)

Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models

24 April 2023
Georgios Batzolis
Jan Stanczuk
Carola-Bibiane Schönlieb
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models"

13 / 13 papers shown
Title
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
54
132
0
14 Sep 2022
Non-Uniform Diffusion Models
Non-Uniform Diffusion Models
Georgios Batzolis
Jan Stanczuk
Carola-Bibiane Schönlieb
Christian Etmann
DiffM
57
15
0
20 Jul 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDaDiffM
121
433
0
30 Nov 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
181
1,130
0
01 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,857
0
11 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
160
670
0
22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
344
6,480
0
26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffMBDL
155
1,466
0
21 Sep 2020
Simple and Effective VAE Training with Calibrated Decoders
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
43
94
0
23 Jun 2020
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
377
11,877
0
11 Jan 2018
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
7,005
0
12 Mar 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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