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A Method for Evaluating Deep Generative Models of Images via Assessing
  the Reproduction of High-order Spatial Context

A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context

24 November 2021
Rucha Deshpande
M. Anastasio
F. Brooks
    MedIm
ArXivPDFHTML

Papers citing "A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context"

3 / 3 papers shown
Title
Report on the AAPM Grand Challenge on deep generative modeling for
  learning medical image statistics
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Rucha Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat Kc
Rongping Zeng
Kyle J. Myers
F. Brooks
M. Anastasio
MedIm
16
4
0
03 May 2024
Assessing the capacity of a denoising diffusion probabilistic model to
  reproduce spatial context
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context
Rucha Deshpande
Muzaffer Özbey
Hua Li
M. Anastasio
F. Brooks
MedIm
DiffM
15
7
0
19 Sep 2023
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali
Masoumeh Zareapoor
Eric Granger
Huiyu Zhou
Ruili Wang
M. E. Celebi
Jie Yang
EGVM
39
138
0
26 Dec 2020
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