Abstract: Point cloud rigid registration is a fundamental problem in 3D computer vision. In the multiview case ... we transpose the registration problem into the latent space of a pretrained ...

In this research, we propose a mask voxel autoencoder network for pre-training large-scale point clouds, dubbed Voxel-MAE ... thus improving the performance of downstream tasks, such as 3D object ...

It’s built around a simple PointNet-style autoencoder trained on partial point clouds from ShapeNet. I’ve always found it fascinating how models can "fill in the blanks," whether it’s with text, ...

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations ... Specifically, the transformers aim to reconstruct the masked point cloud.

Apple has announced an interesting 3D AI model called Matrix3D that is able to reconstruct 3D objects and scenes from just a ...

Natural gas futures edge higher as traders weigh bullish chart signals against weak weather-driven demand forecasts. Key resistance levels at $3.733 and $3.90 may determine if futures can extend ...

The Brick Layer extrusion concept to increase 3D printed part strength [Source ... Normally extrusions are aligned at the layer level, and this introduces a weak point where breaks often occur. A ...

SDP architectures define a number of connection types including, client-to-gateway, client-to-server, server-to-server, and private, cloud-to-public cloud. Each of these connections depends upon ...

Bernard Marr is a world-renowned futurist, board advisor and author of Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society. He has ...