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Eddy3D GAN API
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Predict wind patterns using a GAN model
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Available Models
| Model Name | Version | Architecture | Input | Output | Resolution | Best For | Citation |
|---|---|---|---|---|---|---|---|
Yel |
v1.0 | Conditional GAN (Pix2Pix) |
2D Urban Geometries | 2D Wind Velocity Fields | 512x512 | Instantaneous pedestrian-level wind flow prediction for early-stage urban design. | [1] |
Yel |
v2.0 | Conditional GAN (Pix2PixHD) |
Multi-height SDFs, Wind Direction |
3D Velocity Components & Pressure |
504x504 | Real-time, physics-informed prediction of multi-variable flow fields for iterative CAD exploration. | [2] |
Esen |
v1.0 | Conditional GAN (Pix2Pix) |
3D Urban Geometries | Pedestrian-level Wind Velocity, Turbulent Kinetic Energy & Wind Comfort Map |
512x512 | Pedestrian wind comfort assessment using all major comfort criteria, with accurate turbulence intensity instead of a fixed 20% default. | |
Poyraz |
v1.0 | Conditional GAN (Pix2Pix) |
3D Urban Geometries | Wind Velocity, Turbulent Kinetic Energy & Wind Comfort Map (Pedestrian-level & Roof/Terrace) |
512x512 | Full-site wind comfort analysis using all major comfort criteria, including elevated surfaces such as rooftops and terraces, suitable for mixed-use and high-rise design scenarios. |
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