Texture Diffusion

Texture diffusion leverages diffusion models to generate and manipulate textures in images and 3D models, aiming for high-fidelity results and efficient processing. Current research focuses on improving texture transfer across diverse applications, including image editing, semantic segmentation, and virtual try-on, often employing techniques like depth-guided diffusion and geometry-texture decoupling within diffusion model architectures. These advancements are significantly impacting fields like computer graphics, virtual reality, and image processing by enabling more realistic and controllable texture synthesis and manipulation.