Qualcomm incorporated (20250148628). DEPTH COMPLETION USING ATTENTION-BASED REFINEMENT OF FEATURES
DEPTH COMPLETION USING ATTENTION-BASED REFINEMENT OF FEATURES
Organization Name
Inventor(s)
Yunxiao Shi of San Diego CA US
Manish Kumar Singh of San Diego CA US
Shizhong Steve Han of San Diego CA US
Fatih Murat Porikli of San Diego CA US
DEPTH COMPLETION USING ATTENTION-BASED REFINEMENT OF FEATURES
This abstract first appeared for US patent application 20250148628 titled 'DEPTH COMPLETION USING ATTENTION-BASED REFINEMENT OF FEATURES
Original Abstract Submitted
systems and techniques are provided for generating depth information from one or more images. for example, a process can include obtaining a first depth map corresponding to an input comprising an image of the one or more images and a sparse depth measurement. a three-dimensional (3d) point cloud can be generated based on the first depth map and multi-scale visual features of the input, wherein the 3d point cloud includes a plurality of 3d point features uplifted from the multi-scale visual features. at least a portion of the plurality of 3d point features can be processed using one or more self-attention layers to generate refined 3d point features. a two-dimensional (2d) projection of the refined 3d point features can be generated and a second depth map can be generated based on the 2d projection of the refined 3d point features.