A research team led by Prof. Zhang Zhirong from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...
⭐ Our work is the first to explore in-context learning in 3D point clouds, including task definition, benchmark, and baseline models. The first work to explore the application of in-context learning ...
See Jupiter's “frosted cupcake” clouds in this 3D rendering created using data from NASA's Juno mission. It's the first time ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
This repository contains PyTorch implementation for Point-BERT:Pre-Training 3D Point Cloud Transformers with Masked Point Modeling (CVPR 2022). Point-BERT is a new paradigm for learning Transformers ...