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generative-model

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avik-pal
avik-pal commented Dec 17, 2018

This needs to be done in 2 parts:

  • Separate out the functional forms of the losses into a module of losses
  • Document the necessary functions

We don't need to expose all the functions. Some functions do nothing fancy and they need to be removed and the entire computation can be performed inside the forward function.

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

  • Updated Jul 29, 2021

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

  • Updated Jan 21, 2019
  • Jupyter Notebook

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