texturesynthesis
Texture synthesis is a field within computer graphics and image processing focused on creating new image content that mimics the appearance of an existing texture. The goal is to generate novel, plausible samples from a given exemplar texture, maintaining its visual characteristics such as color, pattern, and statistical properties. This is distinct from texture analysis, which aims to understand and describe textures, or texture mapping, which applies existing textures to 3D models.
Early methods often relied on statistical modeling, analyzing pixel neighborhoods and their relationships to predict new
With the rise of deep learning, convolutional neural networks (CNNs) have become a dominant force in texture
Applications of texture synthesis are widespread, including video game development for creating realistic environments, architectural visualization