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Interpreting Spatially Infinite Generative Models

Interpreting Spatially Infinite Generative Models

24 July 2020
Chaochao Lu
Richard Turner
Yingzhen Li
Nate Kushman
    GAN
ArXiv (abs)PDFHTML

Papers citing "Interpreting Spatially Infinite Generative Models"

3 / 3 papers shown
Autoregressive Conditional Neural Processes
Autoregressive Conditional Neural ProcessesInternational Conference on Learning Representations (ICLR), 2023
W. Bruinsma
Stratis Markou
James Requiema
Andrew Y. K. Foong
Tom R. Andersson
Anna Vaughan
Anthony Buonomo
J. S. Hosking
Richard Turner
BDLUQCV
213
32
0
25 Mar 2023
One-shot Ultra-high-Resolution Generative Adversarial Network That
  Synthesizes 16K Images On A Single GPU
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPUImage and Vision Computing (IVC), 2022
Junseok Oh
Donghwee Yoon
Injung Kim
344
2
0
28 Feb 2022
Aligning Latent and Image Spaces to Connect the Unconnectable
Aligning Latent and Image Spaces to Connect the UnconnectableIEEE International Conference on Computer Vision (ICCV), 2021
Ivan Skorokhodov
Grigorii Sotnikov
Mohamed Elhoseiny
DiffM
161
95
0
14 Apr 2021
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