pavelgonchar/colornet
A deep learning neural network that automatically colorizes grayscale images.
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This repository implements a neural network for automatic image colorization. The model takes grayscale images as input and predicts the corresponding colorized output. It leverages a VGG-based architecture with multiple convolutional layers for feature extraction and color prediction. The implementation uses TensorFlow and was trained on large-scale image datasets to learn color distribution patterns.
Frequently asked
- What is pavelgonchar/colornet?
- A deep learning neural network that automatically colorizes grayscale images.
- Is colornet open source?
- Yes — pavelgonchar/colornet is an open-source project tracked on heatdrop.
- What language is colornet written in?
- pavelgonchar/colornet is primarily written in Python.
- How popular is colornet?
- pavelgonchar/colornet has 3.6k stars on GitHub.
- Where can I find colornet?
- pavelgonchar/colornet is on GitHub at https://github.com/pavelgonchar/colornet.