Global

A fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data.

0cu128. py you may use a newer PyTorch, but the batch renderer then requires building Kaolin from source. > For other CUDA versions, see PyTorch Get Started.

The new website is now online at and is open to contributions :hammerandwrench:.

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

This work presents Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses.

Visual Geometry Grounded Transformer (VGGT, CVPR 2025) is a feed-forward neural network that directly infers all key 3D attributes of a scene, including extrinsic and intrinsic camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its…

Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs. The library supports a more interpretable implementation of NeRFs by modularizing each component.

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Before using the models, please request access to the checkpoints here. Once your request is approved, you can download the checkpoints. Please note that access requests are reviewed by an automated process based on the information provided in the request.

In recent years, tremendous amount of progress is being made in the field of 3D Machine Learning, which is an interdisciplinary field that fuses computer vision, computer graphics and machine learning.

Flex-π is a 6B-parameter world-action model for robot manipulation. It jointly predicts future RGB, 3D pointmaps, DINOv3 semantics, and actions in training, then deploys as a VLA, as a full world-action model, or as anything in between — all from a single checkpoint.