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Codes related to the paper titled "Mining the manifolds of deep generative models for multiple data-consistent solutions of tomographic imaging problems" by Bhadra et al. (2022)

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Mining the manifolds of deep generative models for multiple data-consistent solutions of tomographic imaging problems - PyTorch implementation

Paper:

Sayantan Bhadra¹, Umberto Villa¹ and Mark A. Anastasio²
¹Washington University in St. Louis, USA
²University of Illinois at Urbana-Champaign, USA

System requirements

Linux
Anaconda >= 2018.2
Python >= 3.6
Numpy 1.18.2
PyTorch 1.3.1
1 NVIDIA GPU (compute capability GeForce GTX 1080 or higher and minimum 8 GB RAM)
NVIDIA driver >= 440.59, CUDA toolkit >= 10.0

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Codes related to the paper titled "Mining the manifolds of deep generative models for multiple data-consistent solutions of tomographic imaging problems" by Bhadra et al. (2022)

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