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# DrivAerNet++
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> Update (26.05.2025): We've updated our benchmarking with extensive results comparing TripNet with Nvidia's FigConvNet, Transolver, and RegDGCNN ([paper](https://arxiv.org/pdf/2503.17400)). > We're also [releasing new data modalities](#-coming-soon) for DrivAerNet++ soon, including photorealistic renderings, sketches, 2D slices, SDFs, and more.
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> Update (26.05.2025): We've updated our benchmarking with extensive results comparing TripNet with Nvidia's FigConvNet, Transolver, and RegDGCNN ([paper](https://arxiv.org/pdf/2503.17400)). We're also [releasing new data modalities](#-coming-soon) for DrivAerNet++ soon, including photorealistic renderings, sketches, 2D slices, SDFs, and more.
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> Update (18.04.2025): We are open-sourcing the [RegDGCNN pipeline for surface field prediction](https://github.com/Mohamedelrefaie/DrivAerNet/tree/main/RegDGCNN_SurfaceFields) on 3D car meshes from DrivAerNet++.
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