Abstract Single image 3D reconstruction is an important but challenging task that requires extensive knowledge of our natural world. Many existing methods solve this problem by optimizing a neural rad

Review of PointNetOne of the most prominent shortcomings of PointNet is that PointNet does not capture local structures induced by the metric space points live in, because PointNet only extract featur

Point Cloud DataPoint cloud data refers to a set of vectors in a 3D coordinate system. A normal point cloud object is usually with 2D shape (n, 3+X), where n is the number of points, 3 stands for 3D c

Abstract In this work, we present a novel framework built to simplify 3D asset generation for amateur users. To enable interactive generation, our method supports a variety of input modalities that ca

Abstract We introduce SparseNeuS, a novel neural rendering based method for the task of surface reconstruction from multi-view images. This task becomes more difficult when only sparse images are prov