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A Multi-Resolution Framework for U-Nets with Applications to
  Hierarchical VAEs

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

19 January 2023
Fabian Falck
Christopher Williams
D. Danks
George Deligiannidis
C. Yau
Chris Holmes
Arnaud Doucet
M. Willetts
ArXivPDFHTML

Papers citing "A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs"

7 / 7 papers shown
Title
U-Nets as Belief Propagation: Efficient Classification, Denoising, and
  Diffusion in Generative Hierarchical Models
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DV
AI4CE
DiffM
31
11
0
29 Apr 2024
Learning variational autoencoders via MCMC speed measures
Learning variational autoencoders via MCMC speed measures
Marcel Hirt
Vasileios Kreouzis
P. Dellaportas
BDL
DRL
8
2
0
26 Aug 2023
Tree Variational Autoencoders
Tree Variational Autoencoders
Laura Manduchi
Moritz Vandenhirtz
Alain Ryser
Julia E. Vogt
BDL
DRL
11
8
0
15 Jun 2023
A Unified Framework for U-Net Design and Analysis
A Unified Framework for U-Net Design and Analysis
Christopher Williams
Fabian Falck
George Deligiannidis
Chris Holmes
Arnaud Doucet
Saifuddin Syed
SSeg
AI4CE
34
30
0
31 May 2023
Learning Data Representations with Joint Diffusion Models
Learning Data Representations with Joint Diffusion Models
Kamil Deja
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
9
15
0
31 Jan 2023
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
119
1,420
0
04 Feb 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,191
0
21 Nov 2016
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