Texture Image

Texture image analysis focuses on understanding and manipulating the visual patterns and surface characteristics within images, aiming to improve image synthesis, compression, and analysis for various applications. Current research emphasizes developing neural network models, including diffusion models and neural fields, to represent and edit textures efficiently, often incorporating wavelet or Gaussian-based approaches for improved detail capture and manipulation. These advancements are crucial for enhancing image quality in computer graphics, improving the accuracy of synthetic image detection, and enabling more sophisticated material modeling and 3D scene reconstruction.