公开(公告)号：US20240153212A1

公开(公告)日：2024-05-09

申请号：US18502818

申请日：2023-11-06

Applicant: DASSAULT SYSTEMES DEUTSCHLAND GMBH

Inventor： Andreas WEINMANN ,  Holger DAMMERTZ

IPC: G06T17/20 ,  G06V10/56 ,  H04N13/275

CPC classification number: G06T17/20 ,  G06V10/56 ,  H04N13/275

Abstract: This disclosure notably relates to a computer-implemented method for forming a dataset configured for learning a neural network architecture configured for inferring missing image details of a point cloud rendering. The method comprises the steps of obtaining a 3D mesh scene, computing a point cloud representation of the 3D mesh scene, generating one or more camera views of the 3D mesh scene and the point cloud representation. For each camera view, the method renders a viewpoint of the point cloud representation, of the 3D mesh scene, computes another point cloud representation of the viewpoint of the 3D mesh scene, and renders a viewpoint of the other point cloud representation. The method also comprises obtaining a pair of training samples, each comprising respectively the rendered viewpoint of the point cloud representation and the rendered viewpoint of the other point cloud representation; and adding the pair of training samples to the dataset.