Relightable 3D Asset

Relightable 3D assets are digitally created objects whose appearance can be realistically altered under different lighting conditions, a crucial capability for applications like AR/VR, film, and gaming. Current research focuses on developing efficient and robust methods for generating these assets, often employing neural networks such as Gaussian splatting and neural radiance fields, along with techniques like BRDF optimization and material extraction from images. These advancements improve the speed and quality of asset creation, enabling more realistic and versatile 3D models, particularly for complex objects with challenging surface properties like fur or reflections. The resulting improvements in rendering speed and realism have significant implications for various industries relying on high-quality 3D graphics.