DragGAN AI is a powerful photo editing tool created by the Max Planck Institute that uses artificial intelligence to make editing images easy and intuitive. With DragGAN, users can adjust images by simply dragging control points, allowing for precise changes to things like poses, shapes, and expressions of people, animals, and landscapes.
The tool uses Generative Adversarial Networks (GANs) to produce realistic images and perform advanced edits, such as changing backgrounds or adding and removing objects. DragGAN AI is open-source and works best on high-end computers, particularly those with NVIDIA GPUs.
Features of DragGAN AI
- Interactive Manipulation: Allows users to drag points on images for precise control over attributes like pose and expression.
- Point-Based Control: Facilitates intuitive adjustments by manipulating specific points in the image.
- Feature-Based Motion Supervision: Guides point movements towards target positions for accurate manipulations.
- Point Tracking: Utilizes discriminative GAN features for consistent localization of handle points during interactions.
- Generative Image Manifold: Ensures realistic outputs by performing manipulations on a learned generative image manifold.
- Occlusion Handling: Capable of hallucinating occluded content while maintaining structural integrity during manipulations.
- Wide Range of Applications: Versatile across various categories, including animals, cars, humans, and landscapes.
- Performance Advantage: Demonstrates significant improvements over previous methods in qualitative and quantitative evaluations.
Install DragGAN in Google Colab
Google Colab is a great tool which is built over Jupyter notebook, which is mainly used for research and configuring AI. You can check how to play around with this tool in Google Colab and play around with the images.
To create the environment and install the necessary packages, issue the instructions below:
conda env create python=3.7 -f environment.yml
conda activate stylegan3Then install the additional requirements.
pip install -r requirements.txtRun the following command to download StyleGAN2 weights:
sh scripts/download_model.shIf you want to try other pre-trained StyleGAN models, download the weights and place them under the ./checkpoints directory.
To launch the GUI, execute:
python visualizer_drag_gradio.py
