Point-E is mainly composed of two models: a model that generates images from text and a model that generates point cloud data from images. A model that generates images from text is a model that ...

In the original paper, the authors applied diffusion probabilistic models to the task of 3D point cloud generation and proposed a denoising model based on PointNet as a feature extraction network. By ...

Point-E, unlike similar systems, "leverages a large corpus of (text, image) pairs, allowing it to follow diverse and complex prompts, while our image-to-3D model is trained on a smaller dataset of ...

Abstract: Although point cloud-based 3D object detectors have advanced significantly in recent years, they are frequently hindered by substantial computational overheads. Lightweight model techniques, ...

Abstract: Point cloud completion aims to reconstruct complete 3D shapes from partial scans. The long-range dependencies between points and shape perception are crucial for this task. While ...

Laser-scanning technology can create exceptionally detailed 3D models of cultural sites, bringing them to life online—and helping experts restore them if disaster strikes. For the last decade, the ...

The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.