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Argus 1.0 - The world's first large-scale spatial model launched by Rushi.

Argus 1.0 is the world's first large-scale spatial model released by Ruishi that supports panoramic image input. Trained based on nearly one million sets of real high-definition spatial data accumulated by Ruishi, it adopts a Transformer architecture and features millisecond-level real-time reconstruction...

What is Argus 1.0?

Argus 1.0 is the world's first large-scale spatial model released by Ruishi that supports panoramic image input. Trained on nearly one million sets of real high-definition spatial data accumulated by Ruishi, it adopts a Transformer architecture and has millisecond-level real-time reconstruction capabilities. It can quickly infer camera pose, depth map, and point map from panoramic images or ordinary photos to generate high-precision 3D spatial models. Argus 1.0 has strong multi-source adaptability, is compatible with various image inputs, and generates high-quality 3D space, significantly outperforming other similar solutions.

Main features of Argus 1.0

  • Panoramic Image Input and Real-time ReconstructionIt supports both panoramic and regular photo inputs, and can reconstruct 3D space in milliseconds, generating high-precision depth and point maps, providing real-time global reconstruction capabilities.
  • Multi-source adaptationIt is compatible with various image sources, including single or multiple ordinary photos, AI-generated images, etc., to adapt to data input needs in different scenarios.
  • High-precision spatial generationBased on training with large-scale real data, the generated 3D spatial model is of high quality and can accurately reproduce spatial layout and details, making it suitable for complex environments such as glass and mirrors.
  • Multi-domain applicationsIt is widely used in real estate rental and sales, home decoration and furnishing, commercial retail, industrial parks and other fields, providing functions such as immersive experience, design assistance and digital space replication.
  • Data-driven continuous optimizationLeveraging the world's largest 3D spatial database accumulated by Rushi, Argus 1.0 can continuously iterate to improve model performance and generation quality.

Technical principles of Argus 1.0

  • Pioneering panoramic image inputArgus 1.0 is the first large-scale depth inference model to support panoramic image input, and it is compatible with single or multiple ordinary photos as well as AI-generated images, with powerful multi-source adaptability.
  • Transformer architectureThe model is built on the Transformer architecture, which leverages its powerful parallel processing capabilities and ability to capture long-distance dependencies to improve model performance and generation quality, achieving high-precision spatial reconstruction.
  • Large-scale real-data trainingThe model is trained using nearly a million sets of real high-definition spatial data accumulated by Rushi. These data cover a variety of scenarios and complex environments, ensuring that the 3D space generated by the model has high accuracy and high reliability.
  • Millisecond-level real-time reconstructionBy optimizing algorithms and architecture design, Argus 1.0 achieves millisecond-level real-time reconstruction capabilities, enabling rapid response to input and providing a seamless user experience.

Argus 1.0 project address

  • Project official websitehttps://h5.realsee.cn/argus

Application scenarios of Argus 1.0

  • Real Estate Rental and SalesIt can be used to generate virtual house viewing scenarios, providing a more immersive house viewing experience and helping users to understand the spatial layout and details of a house more intuitively.
  • Home decoration and furnishingIt can provide accurate spatial models for home decoration design, allowing designers to create more realistic decoration plans based on the models, and users can also preview the decoration effects more clearly.
  • Commercial retailIt can digitally replicate commercial spaces for online display and marketing, allowing consumers to remotely browse the layout and merchandise displays of shopping malls and stores.
  • Industrial ParkModeling of factories and facilities in industrial parks facilitates management and planning, and can also be used for remote inspection and maintenance.
  • Dynamic lock screen wallpaperArgus 1.0 can be used to generate dynamic lock screen space wallpapers, with higher depth inference accuracy and resolution, outperforming the depth inference algorithm disclosed by Apple.
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