Project Title

deep-image-prior — Image Restoration with Neural Networks Without Learning

Overview

The deep-image-prior project provides Jupyter Notebooks to reproduce figures from the CVPR 2018 paper "Deep Image Prior" by Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky. This project enables image restoration using neural networks without the need for learning, offering a unique approach to image processing tasks.

Key Features

Jupyter Notebooks for reproducing results from the paper
Hyperparameters and architectures used in the paper
Optimization warnings for specific GPUs
Docker image for running the project with all dependencies

Use Cases

Researchers and developers in the field of image processing and computer vision
Applications in photo restoration, inpainting, and deblurring
Educational purposes for understanding neural network-based image restoration

Advantages

No need for learning, making it suitable for tasks with limited data
Provides a straightforward approach to image restoration tasks
Open-source and community-driven, allowing for continuous improvement

Limitations / Considerations

Potential convergence issues on certain GPUs like Tesla V100 and P40
Hyperparameters and architectures may not be optimal and require tuning
The project is research-oriented and may require a deeper understanding of the underlying concepts

DehazeNet: A deep learning-based approach for image dehazing, differing in its focus on a specific type of image restoration.
GIMP: A free and open-source image editor that includes various plugins for image restoration, offering a more general-purpose tool.
OpenCV: A comprehensive computer vision library that includes functions for image restoration, providing a broader range of image processing capabilities.

Basic Information

GitHub: https://github.com/DmitryUlyanov/deep-image-prior
Stars: 8,033
License: Unknown
Last Commit: 2025-10-11

📊 Project Information

Project Name: deep-image-prior
GitHub URL: https://github.com/DmitryUlyanov/deep-image-prior
Programming Language: Jupyter Notebook
⭐ Stars: 8,033
🍴 Forks: 1,443
📅 Created: 2017-11-29
🔄 Last Updated: 2025-10-11

🏷️ Project Topics

Topics: [, ]

📚 Documentation

pytorch
here

This article is automatically generated by AI based on GitHub project information and README content analysis

deep-image-prior

Project Description