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Description

SAM 3D consists of a duo of sophisticated foundation models that can transform a typical RGB image into an impressive 3D representation of either objects or human figures. This system features SAM 3D Objects, which accurately reconstructs the complete 3D geometry, textures, and spatial arrangements of items found in real-world environments, effectively addressing challenges posed by clutter, occlusions, and varying lighting conditions. Additionally, SAM 3D Body generates dynamic human mesh models that capture intricate poses and shapes, utilizing the "Meta Momentum Human Rig" (MHR) format for enhanced detail. The design of this system allows it to operate effectively with images taken in natural settings without the need for further training or fine-tuning: users simply upload an image, select the desired object or individual, and receive a downloadable asset (such as .OBJ, .GLB, or MHR) that is instantly ready for integration into 3D software. Highlighting features like open-vocabulary reconstruction applicable to any object category, multi-view consistency, and occlusion reasoning, the models benefit from a substantial and diverse dataset containing over one million annotated images from the real world, which contributes significantly to their adaptability and reliability. Furthermore, the models are available as open-source, promoting wider accessibility and collaborative improvement within the development community.

Description

STOCHOS is an advanced probabilistic AI solution designed specifically for engineering and research and development applications. It harnesses existing simulation, testing, and measurement data to swiftly predict new variants while providing uncertainty assessments for each prediction, allowing engineers to discern when to trust the results or opt for traditional solvers. Utilizing the DIM-GP framework, STOCHOS is effective even with limited datasets, ranging from just a few dozen to a few hundred samples, and can handle various data types such as scalars, signals, 2D and 3D fields, meshes, geometries, and images. Its capabilities include surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, along with generative geometry techniques. STOCHOS Flow, a user-friendly visual workbench, enables the creation of workflows without the need for coding, allowing teams to deploy them as web applications. The software operates on local hardware and can be installed offline, ensuring accessibility and privacy. Founded in 2018 in Grafing bei München, PI Probaligence is part of the CADFEM Group and has established itself as a technology partner with Ansys, promoting innovative solutions in engineering. Furthermore, its ability to integrate seamlessly into existing processes enhances productivity and drives efficiency in engineering teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Quote on request
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/sam3d/

Vendor Details

Company Name

PI Probaligence GmbH

Founded

2018

Country

Germany

Website

probaligence.com

Product Features

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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Alternatives

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