Predictive and generative neural networks for object functionality




  • Paper topic: Geometry
  • Software type: Code
  • Able to run a replicability test: True
  • Replicability score: 0
  • Software language: Python
  • License: MIT
  • Build mechanism: Not applicable (python, Matlab..)
  • Dependencies: tensorflow / numpy / scipy
  • Documentation score {0,1,2}: 0
  • Reviewer: David Coeurjolly <>
  • Time spent for the test (build->first run, timeout at 100min): 50min

Source code information


Missing dependencies : numpy and scipy but easily installable. The code does not provide the pretrained models and requires to train three different networks (15000 epochs (2-3min per 10 epochs on the test machine)). I was not able to check the results and thus evaluate if the results match with the paper ones.

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