chengzhag/DeepPanoContext

🕸️ [ICCV'21 Oral] Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

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/ 100
Emerging

This project helps interior designers, architects, and virtual reality developers understand and recreate realistic 3D indoor scenes from panoramic images. It takes a single 360-degree panoramic photo as input and outputs a detailed 3D reconstruction, including room layout, object detection, and the spatial relationships between objects. This allows users to accurately model existing spaces or design new ones in a virtual environment.

102 stars. No commits in the last 6 months.

Use this if you need to generate a precise 3D model of an indoor space from a single panoramic image for tasks like virtual staging, architectural visualization, or robotics simulation.

Not ideal if you only need a basic 2D floor plan or object recognition, as its strength lies in comprehensive 3D scene understanding.

3D-reconstruction interior-design architecture-modeling virtual-reality-environments robotics-simulation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

102

Forks

12

Language

Python

License

MIT

Last pushed

Aug 17, 2022

Commits (30d)

0

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