Texture Generation

Texture generation focuses on creating realistic and diverse textures for various applications, primarily leveraging advancements in deep learning. Current research emphasizes improving texture quality and consistency, often using diffusion models, generative adversarial networks (GANs), and neural cellular automata (NCAs), sometimes incorporating visual or geometric guidance from 3D models or multi-view images. These methods are crucial for enhancing the realism of 3D models, virtual environments, and other visual media, impacting fields like computer graphics, virtual reality, and augmented reality.