GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting

arXiv:2402.10259v1 Announce Type: new
Abstract: Reconstructing and rendering 3D objects from highly sparse views is of critical importance for promoting applications of 3D vision techniques and improving user experience. However, images from sparse views only contain very limited 3D information, leading to two significant challenges: 1) Difficulty in building multi-view consistency as images for matching are too few; 2) Partially omitted or highly compressed object information as view coverage is insufficient. To tackle these challenges, we propose GaussianObject, a framework …

3d object 3d objects abstract applications arxiv challenges cs.cv cs.gr experience images importance information objects quality rendering type vision