A World-Leading 3D Vision Foundation Model

From a photo, panorama, or sparse views, Argus reconstructs metric 3D structure in milliseconds: pose, depth, point clouds, and renderable geometry for Realsee products, developer workflows, and research.

Explore Capabilities See the Evidence Use Argus

Technical Scenarios

Build spatial products on Realsee Argus

Argus connects model capability, Realsee productization, and developer or agent access in one technical product sequence.

Infer metric 3D structure from photo or panorama

Argus turns supported visual input into measurable 3D structure. A JPEG photo or 2:1 panorama can return core 3D data with absolute metric scale: camera pose, spatial depth, point maps, point clouds, and renderable geometry in milliseconds.

Try Argus Demo

Supported demo input: JPEG photo or 2:1 panorama.
Metric scale: Returns core 3D data with absolute scale in the model/demo result.
Camera pose: Places supported views into a shared spatial frame.
Spatial depth: Turns visual appearance into physical distance.
Point maps and point clouds: Maps image observations into spatial coordinates and scene points.
Milliseconds: Delivers millisecond-scale inference for supported visual inputs.

Argus research visual showing metric indoor reconstruction from panoramic views

Turn reconstruction into Realsee 3D products

Argus has moved from model capability into real Realsee product surfaces. The Argus Product Matrix brings together hosted evaluation, Pano to 3D workflow, 3D Tour Platform panorama upload, Realsee Gimbal capture, handheld imaging, Developer Platform Argus Flow, and Realsee Skills Argus.

Start Free

Realsee 3D Tour Platform import menu showing Pano to 3D

Realsee Gimbal product with phone capture

Realsee 3D Tour editing interface on desktop and mobile

SurfaceWhat it enablesStart here

Hosted Argus DemoTry a supported image or panorama and see Argus reconstruction before moving into product or developer workflows.Demo

Pano to 3D workflowUpload panoramas with shared viewpoints and generate a 3D Virtual Tour with a realistic 3D model.Guide

3D Tour Platform panorama upload featureBring panorama uploads into the 3D Tour Platform and turn them into explorable 3D Virtual Tours.Platform

Realsee GimbalCapture platform-ready panoramic source material with the Realsee Gimbal product family.Gimbal

Handheld imaging pathExtend Argus-powered reconstruction from panorama workflows into handheld imaging scenarios.Article

Developer Platform Argus FlowUpload, trigger, poll, and retrieve reconstruction through one Developer app.Develop

Realsee Skills ArgusAgent and CLI workflow for supported local image or panorama input to GLB output.Skills

Build with Argus through APIs and agent workflows

Developer Platform Argus Flow gives builders an asynchronous reconstruction workflow: upload supported image or panorama input, trigger Argus, poll the job status, and retrieve the generated result for downstream product workflows.

Realsee Skills Argus gives agents or CLI workflows a local starting point: provide a supported local image or panorama, let the skill call Argus remote services, and receive a GLB output.

Developer Platform Realsee Skills

Developer Platform Argus FlowAsync reconstruction

01Upload inputSend a supported image or panorama through the Developer Platform.
02Trigger ArgusStart the Argus reconstruction task from one Developer app.
03Poll statusTrack the asynchronous job until the result is ready.
04Retrieve resultFetch the reconstruction output for the next product workflow.

Agent or CLIRealsee Skills ArgusSupported local image or panoramaGLB output

Proof Layer

Research-backed. Dataset-grounded. Product-proven.

Argus pairs public research with production pathways: an ECCV 2026 paper, a 1.31B-parameter model, the Realsee3D benchmark, open research code, gated research weights, Realsee's spatial data foundation, and productized workflows.

01Scientific proof

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes is the research release behind the model. The paper presents Argus as a feed-forward network trained on Realsee3D for metric panoramic reconstruction, reports a 1.31B-parameter model, and shows metric performance for camera pose, depth, and point cloud reconstruction in a single feed-forward pass.

Paper Research code Research weights

ECCV 2026research release

1.31Bparameters

singlefeed-forward pass

02Data foundation

Realsee3D is the research benchmark: panoramic indoor scenes, sparse unordered views, metric annotations, and hybrid real/synthetic coverage for reproducible evaluation. Separately, Realsee's broader commercial spatial data foundation shows real-world capture operated at platform scale.

10Kcomplete indoor scenes

95,962room units

299,073panoramic viewpoints

58M+broader spatial datasets

4.6B+square meters covered

03Product proof

Argus already powers concrete Realsee product and developer surfaces: hosted evaluation, product workflows, platform upload, capture-device flows, handheld imaging, developer access, and agent workflows.

Hosted Argus Demo
Pano to 3D workflow
3D Tour Platform panorama upload feature
Realsee Gimbal
Handheld imaging device path
Developer Platform Argus Flow
Realsee Skills Argus

Argus Stack

The Argus spatial stack

Argus resources are organized around model foundations, Realsee product workflows, developer integration, and research evaluation so every visitor can find the right entry point.

Model & Data

Foundation layer

Model outputs, Realsee3D benchmark context, and gated non-commercial research weights define the foundation layer.

Camera pose, spatial depth, point maps, point clouds, and renderable geometry.
Realsee3D research benchmark context for evaluating panoramic reconstruction.
Hugging Face research weights for non-commercial research evaluation.

Realsee Platform

Product layer

Pano to 3D and 3D Tour Platform workflows translate Argus reconstruction into Realsee product experiences.

Pano to 3D panorama workflow.
3D Tour Platform context for tour creation and spatial product delivery.
Realsee product workflows that connect reconstruction to real customer outputs.

Developer Resources

Integration layer

Developer Platform Argus Flow and Realsee Skills give builders practical integration paths for custom product and agent workflows.

Developer Platform Argus Flow for upload, trigger, poll, and retrieve.
Realsee Skills for agent or CLI workflows around supported local input.

Research Resources

Evaluation layer

Paper, Realsee3D, GitHub research implementation, and Hugging Face research weights give technical evaluators a clear research path.

ECCV 2026 paper and public research project context.
Realsee3D dataset and benchmark framing.
GitHub research implementation and Hugging Face research weights.

Where To Go Next

Choose your Argus starting point.

Start FreeBegin from the Realsee platform.Try Argus DemoEvaluate supported image or panorama input.Read the ResearchUse the public research release path.Build with ArgusFind developer resources and integration paths.