Reflectance Map

Reflectance maps represent the way surfaces reflect light, a crucial element in computer vision tasks like 3D shape reconstruction and image enhancement. Current research focuses on developing robust methods to estimate reflectance maps from images, often employing deep learning architectures like diffusion models and neural networks to handle complex scenarios such as non-Lambertian surfaces and unknown lighting conditions. These advancements are improving the accuracy of inverse rendering techniques, leading to better 3D models and more realistic image editing capabilities, with applications ranging from augmented reality to material science.