This method involves creating relightable radiance fields by leveraging priors extracted from 2D image diffusion models. The approach can convert multi-view data captured under single lighting conditions into a dataset with multi-illumination effects, represented through 3D Gaussian splats for relightable radiance fields. This method does not rely on precise geometric shapes and surface normals, making it well-suited for handling cluttered scenes with complex geometries and reflective BRDFs.