Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review

arXiv:2405.03417v1 Announce Type: new
Abstract: Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for their ability to directly estimate 3D shapes. This review paper focuses on state-of-the-art techniques for 3D reconstruction, including the generation of novel, unseen views. An overview of recent developments in the Gaussian Splatting method is provided, covering input types, model structures, output representations, and training …

3d reconstruction abstract art arxiv attention cs.cv cs.gr image images novel object paper review set state synthesis type view