Textile GAN is a deep learning-based generative model designed to create high-quality textile patterns. It leverages Generative Adversarial Networks (GANs) to generate novel and diverse fabric designs based on a given dataset of textile images.
Features
Generates realistic and diverse textile patterns
Supports style transfer and pattern blending
Allows conditional generation based on color, texture, or style
Can be fine-tuned for specific textile industries