SystemErrorWang/White-box-Cartoonization
A TensorFlow implementation that transforms real-world photographs into cartoon-style images using deep neural networks.
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This repository provides the official implementation of a CVPR 2020 paper on white-box cartoonization. It uses neural network models trained on cartoon representations to convert input images into cartoon-style outputs. The approach handles various image types including scenery, food, indoor scenes, and people. Training requires an NVIDIA GPU with CUDA and CuDNN support.
Frequently asked
- What is SystemErrorWang/White-box-Cartoonization?
- A TensorFlow implementation that transforms real-world photographs into cartoon-style images using deep neural networks.
- Is White-box-Cartoonization open source?
- Yes — SystemErrorWang/White-box-Cartoonization is an open-source project tracked on heatdrop.
- What language is White-box-Cartoonization written in?
- SystemErrorWang/White-box-Cartoonization is primarily written in Python.
- How popular is White-box-Cartoonization?
- SystemErrorWang/White-box-Cartoonization has 4k stars on GitHub.
- Where can I find White-box-Cartoonization?
- SystemErrorWang/White-box-Cartoonization is on GitHub at https://github.com/SystemErrorWang/White-box-Cartoonization.