tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow

Information

• Paper topic: Animation and Simulation
• Software type: Code
• Able to run a replicability test: True
• Replicability score: 5
• Software language: C/C++, Python
• License: Apache License 2.0
• Build mechanism: CMakeLists, Not applicable (python, Matlab..)
• Dependencies: CUDA / cudnn / tensorflow-gpu / imagio / keras / scipy / numpy / mantaflow
• Documentation score {0,1,2}: 1
• Reviewer: David Coeurjolly <david.coeurjolly@liris.cnrs.fr>
• Time spent for the test (build->first run, timeout at 100min): 60min

Source code information

• Code URL: https://github.com/thunil/tempoGAN
• Git commit hash: 9e33c8ef6f6ed7fe52363120fed2f8b345bd3702
• Software Heritage link:

Comments

Complex CUDA/cudNN/tensorflow/manta infrastructure but well documented. Training data can be reproduced and pre-trained model can be easily reused.

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