Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields is a scholarly work, published in 2024 in ''IEEE Transactions on Pattern Analysis and Machine Intelligence''. The main subjects of the publication include political representation, stereopsis, computer graphics, artificial intelligence, computer vision, radiance, parameterized complexity, biological function, and computer science. The authors show that together with a regularizer on normal vectors, the authors' model significantly improves the realism and accuracy of specular reflections.