High Fidelity Texture

High-fidelity texture generation in 3D models focuses on creating realistic and detailed surface appearances, crucial for applications like virtual reality, gaming, and 3D modeling. Current research emphasizes methods leveraging diffusion models, often coupled with neural implicit representations or Gaussian splatting, to synthesize textures from various inputs including text prompts, single images, and sparse data. These advancements improve texture consistency across multiple views and enable efficient generation of high-resolution textures, even for complex geometries and arbitrary mesh topologies. The resulting improvements in realism and efficiency have significant implications for various fields requiring high-quality 3D content creation.