SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views Under Unconstrained Illuminations

synthetic and real-world challenging datasets demonstrate the effectiveness of SU-RGS, achieving the state-of-the-art performance for scene inverse rendering by learning 3DGS from only sparse views under unconstrained illuminations.