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TensorFlow Implementation of Deep3D+, a VGG19 expanded "deconvolution" network for doing depth estimation and in-painting for stereoscopic image generation.

Tensorflow Deep3D

This is a Tensorflow implemention of Deep3D (The original MXNet implementation can be found in the github repository: Deep3D-MXNet. The published paper describes the development and performance of the original network. There is a lot of work to be done for this ported model!

  • Refactor and port over NumPy weights to Tensorflow loading methods
  • Add training persistance
  • Train WAY longer on hollywood Dataset
  • Explore TensorServe API for web hosting + experiment with Ruby API

Presentation Slides: https://goo.gl/iijL3X

The backbone of this network is built from the github repository of an implementation of VGG19.

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TensorFlow Implementation of Deep3D+, a VGG19 expanded "deconvolution" network for doing depth estimation and in-painting for stereoscopic image generation.

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