iGAN
iGAN leverages deep learning techniques, such as GANs and DCGANs, for interactive image generation, producing realistic images with minimal strokes. It functions as a dual-purpose platform: a drawing interface and a tool for visual understanding of deep generative models. The platform supports real-time processing, compatibility with Python 2 and 3, and uses libraries like Theano and OpenCV with GPU acceleration, offering robust editing and visualization features suitable for varied artistic and analytic tasks.
