{"id":60005,"date":"2026-06-08T20:10:00","date_gmt":"2026-06-08T13:10:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=60005"},"modified":"2026-06-08T20:10:00","modified_gmt":"2026-06-08T13:10:00","slug":"alibabas-amap-unveils-abot-earth0-5-3d-native-world-model-for-city-scale-modeling","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=60005","title":{"rendered":"Alibaba’s Amap Unveils ABot-Earth0.5 3D Native World Model for City-Scale Modeling"},"content":{"rendered":"

BEIJING<\/span>, June 8, 2026<\/span> \/PRNewswire\/ — Amap, Alibaba’s location-based services platform, today announced the launch of ABot-Earth0.5, the world’s first 3D native city-scale world model, offering a cost-effective and efficient alternative to traditional 3D city modelling.<\/p>\n

\n

\"Alibaba's<\/a>
Alibaba’s Amap Unveils ABot-Earth0.5 3D Native World Model for City-Scale Modeling<\/span><\/p>\n<\/div>\n

Trained entirely on 3D data, ABot-Earth0.5 is ready for deployment in fields such as embodied AI and physical AI.<\/p>\n

The ABot-Earth0.5 model supports multimodal inputs, including images and text. With a single satellite image or text prompt, it can generate a high-fidelity, kilometer-scale 3D urban scene in approximately 10 minutes on a consumer-grade GPU. This represents a 1,000x leap in production efficiency at roughly 1% of the cost of conventional approaches.<\/p>\n

Traditional 3D city modelling has long relied on a “capture-then-reconstruct” workflow, which involves aerial data collection followed by 3D structures extraction from 2D imagery. This process is resource-intensive, dependent on specialized equipment and manual refinement, and typically takes a few hours to several days to model just one square kilometre.<\/p>\n

ABot-Earth0.5 takes a fundamentally different approach. By training directly on 3D data, the model achieves an intrinsic understanding of three-dimensional space, enabling the end-to-end generation of ready-to-render scenes in 3D Gaussian Splatting (3DGS) format. The outputs can be seamlessly integrated into mainstream engines, including Unity and Unreal Engine, for immediate production deployment.<\/p>\n

On the engineering side, Amap developed a first-of-its-kind compression-generation framework that encodes high-quality real-world 3DGS scenes into a compact latent space. This is complemented by a sliding-window inference mechanism that supports continuous, wide-area scene generation, as well as a multi-level-of-detail (LOD) decoder designed to ensure smooth rendering across varying viewing distances.<\/p>\n

This technological shift repositions 3D city modelling from a resource-intensive undertaking to a more accessible, scalable capability. Amap noted the technology is poised to drive growth across a range of downstream industries, including embodied AI, the low-altitude economy and 3D gaming creation, while also supporting emergency response by creating disaster scenes in 3D in an instant.<\/p>\n

Amap has already deployed the model in embodied AI applications. A city-scale simulation training ground built on ABot-Earth0.5 has reduced the construction cycle for virtual environments from days to minutes, bridging a vital data gap for open-world AI training. The debut of Amap Tutu, a fully autonomous quadruped robot designed for open environments, is a prime real-world use case demonstrating this technology in action.<\/p>\n

ABot-Earth0.5 is now open for beta testing. Developers and enterprise users can apply through the official channel at abot-earth.amap.com<\/a>.<\/p>\n

\u00a0<\/p>\n

<\/div>","protected":false},"excerpt":{"rendered":"

<\/p>\n

BEIJING<\/span>, June 8, 2026<\/span> \/PRNewswire\/ — Amap, Alibaba’s location-based services platform, today announced the launch of ABot-Earth0.5, the world’s first 3D native city-scale world model, offering a cost-effective and efficient alternative to traditional 3D city modelling.<\/p>\n

\n

\"Alibaba's<\/a>
Alibaba’s Amap Unveils ABot-Earth0.5 3D Native World Model for City-Scale Modeling<\/span><\/p>\n<\/div>\n

Trained entirely on 3D data, ABot-Earth0.5 is ready for deployment in fields such as embodied AI and physical AI.<\/p>\n

The ABot-Earth0.5 model supports multimodal inputs, including images and text. With a single satellite image or text prompt, it can generate a high-fidelity, kilometer-scale 3D urban scene in approximately 10 minutes on a consumer-grade GPU. This represents a 1,000x leap in production efficiency at roughly 1% of the cost of conventional approaches.<\/p>\n

Traditional 3D city modelling has long relied on a “capture-then-reconstruct” workflow, which involves aerial data collection followed by 3D structures extraction from 2D imagery. This process is resource-intensive, dependent on specialized equipment and manual refinement, and typically takes a few hours to several days to model just one square kilometre.<\/p>\n

ABot-Earth0.5 takes a fundamentally different approach. By training directly on 3D data, the model achieves an intrinsic understanding of three-dimensional space, enabling the end-to-end generation of ready-to-render scenes in 3D Gaussian Splatting (3DGS) format. The outputs can be seamlessly integrated into mainstream engines, including Unity and Unreal Engine, for immediate production deployment.<\/p>\n

On the engineering side, Amap developed a first-of-its-kind compression-generation framework that encodes high-quality real-world 3DGS scenes into a compact latent space. This is complemented by a sliding-window inference mechanism that supports continuous, wide-area scene generation, as well as a multi-level-of-detail (LOD) decoder designed to ensure smooth rendering across varying viewing distances.<\/p>\n

This technological shift repositions 3D city modelling from a resource-intensive undertaking to a more accessible, scalable capability. Amap noted the technology is poised to drive growth across a range of downstream industries, including embodied AI, the low-altitude economy and 3D gaming creation, while also supporting emergency response by creating disaster scenes in 3D in an instant.<\/p>\n

Amap has already deployed the model in embodied AI applications. A city-scale simulation training ground built on ABot-Earth0.5 has reduced the construction cycle for virtual environments from days to minutes, bridging a vital data gap for open-world AI training. The debut of Amap Tutu, a fully autonomous quadruped robot designed for open environments, is a prime real-world use case demonstrating this technology in action.<\/p>\n

ABot-Earth0.5 is now open for beta testing. Developers and enterprise users can apply through the official channel at abot-earth.amap.com<\/a>.<\/p>\n

\u00a0<\/p>\n

<\/div>\n

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