公开(公告)号：US20240362848A1

公开(公告)日：2024-10-31

申请号：US18628865

申请日：2024-04-08

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Hoi Jun YOO ,  Dong hyeon HAN

IPC: G06T15/00 ,  G06F3/01 ,  G06T7/11 ,  G06V10/56 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T15/00 ,  G06F3/013 ,  G06T7/11 ,  G06V10/56 ,  G06V10/764 ,  G06V10/82

Abstract: Provided is a 3D rendering accelerator based on a DNN trained using a weight of the DNN using a plurality of 2D photos obtained by imaging the same object from several directions and then configured to perform 3D rendering using the same, the 3D rendering accelerator including a VPC configured to create an image plane for a 3D rendering target from a position and a direction of an observer, divide the image plane into a plurality of tile units, and then perform brain imitation visual recognition on the divided tile-unit images to determine to reduce a DNN inference range, an HNE including a plurality of NEs having different operational efficiencies and configured to accelerate DNN inference by dividing and allocating tasks, and a DNNA core configured to generate selection information for allocating each task to one of the plurality of NEs based on a sparsity ratio.