LumiGauss: Relightable Gaussian Splatting in the Wild
We propose a 2D Gaussian Splatting model tht decouples the environment lightning and intrinsic properties of the captured subject. After training, we can relight the scene using a …
We propose a 2D Gaussian Splatting model tht decouples the environment lightning and intrinsic properties of the captured subject. After training, we can relight the scene using a …
We generate realistic 3D avatars from just as few as five multi-view frames. Compared to the previous approaches, which may use up to 1 million images, our approach is …
We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i.e. camera control). We demonstrate, to the best of our …
We present a new method that learns Constructive Solid Geometry (CSG) operations that operates on Signed Distance Field representation of 2D/3D shapes. The method discovers these …
We present a new classification deep learning model for American Sign Language fingerspelling recongition. Our approach relies on multiple, image-phenomena based augmentation …