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What is Kroscloud?

Kroscloud is an innovative cloud platform that enables users to effortlessly convert their spatial content into captivating, georeferenced guides without requiring any coding expertise. Users can upload either a photogrammetry 3D model or an exceptionally detailed 2D map of up to 1000 megapixels, which are then rendered as fast tiles, allowing for seamless guide creation. The platform supports the integration of various points of interest and multimedia elements, including text, audio narration, images, YouTube videos, and panoramic views to enrich the user's experience. By anchoring scenes to GPS coordinates, visitors can monitor their real-time location while navigating the area, and they can conveniently measure distances, areas, and elevation profiles. In addition, users can toggle between different layers to compare a site’s ruins with its historical reconstructions or switch between various map styles. Kroscloud provides two complementary workflows for 3D scenes and 2D maps, both employing a unified toolkit that enhances consistency and user-friendliness. Guides can be easily shared through a link or embedded like a video, ensuring they are accessible on any device. This platform is particularly advantageous for a wide range of applications, such as heritage and museum projects, surveying, educational purposes, real estate, campus and venue mapping, and tourism, thereby enriching visitor engagement with their surroundings. Moreover, Kroscloud not only facilitates the creation of immersive experiences but also deepens users' understanding of the locations they are investigating, making every exploration both educational and enjoyable.

What is HunyuanWorld?

HunyuanWorld-1.0 is an innovative open-source AI framework and generative model developed by Tencent Hunyuan, which facilitates the creation of immersive and interactive 3D environments using text or image inputs by integrating the strengths of both 2D and 3D generation techniques into a unified framework. At the core of this system lies a semantically layered 3D mesh representation that employs 360° panoramic world proxies, enabling the breakdown and reconstruction of scenes while maintaining geometric accuracy and semantic comprehension, thus allowing for the generation of diverse and coherent spaces that users can explore and interact with. Unlike traditional 3D generation methods that often struggle with issues of limited diversity and poor data representation, HunyuanWorld-1.0 skillfully merges panoramic proxy development, hierarchical 3D reconstruction, and semantic layering to deliver superior visual quality and structural integrity, while also offering exportable meshes that integrate effortlessly into standard graphics pipelines. This groundbreaking methodology not only elevates the realism of the generated environments but also paves the way for exciting new creative applications across various sectors, fostering innovation and exploration in fields such as gaming, architecture, and virtual reality. Additionally, the framework's versatility allows developers to customize and adapt the generated environments to suit specific needs, further enhancing its appeal.

Media

No images available

Media

Integrations Supported

Integrations Supported

Git
PyTorch
Python

API Availability

API Availability

Pricing Information

$0
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Krosapp s.r.o.

Date Founded

2017

Company Website

www.kroscloud.com

Company Facts

Organization Name

Tencent

Date Founded

1998

Company Location

China

Company Website

github.com/Tencent-Hunyuan/HunyuanWorld-1.0

Categories and Features

3D Viewers

Not specified

Categories and Features

AI Models

Not specified

AI World Models

Not specified

Open-Weight AI Models

Not specified

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