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STARVE: Style TrAnsfeR for VidEos

This is the final project for class CSCI 1430: Introduction to Computer Vision.

Team members (alphabetical by first name): Yicheng Shi, Yuchen Zhou, Yue Wang, and Zichuan Wang.

In this project, we realize video style transfer in TensorFlow2. Our work is heavily based on paper Artistic style transfer for videos and this repo written in Lua and C++. We also refer to in this tutorial for basic functions.

Optic Flow

If calculate optic flow with 2 CPU cores, it takes 35s per frame on average.

Optic flow: 100% 120/120 [1:09:26<00:00, 34.72s/it]

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An anime style transformation tool

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  • C++ 69.7%
  • Python 19.5%
  • Cuda 9.2%
  • Other 1.6%