SAM 3D: 3Dfy Anything in Images

Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.

A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information through weighted connections.

A subset of machine learning that uses neural networks with multiple layers (deep neural networks) to learn hierarchical representations of data.

The field of AI that gets computers to extract meaning from images and video: what is in them, where it is, and how it moves.

Predicting distance of objects from the camera using monocular or stereo images.

Creating 3D models from 2D images using geometry and deep learning.

A collection of data examples used for training, validating, or testing machine learning models.

Artificially generated data created to augment training sets, protect privacy, or simulate rare scenarios.

Creating new images from scratch or from text descriptions using generative models (GANs, diffusion models, VAEs).