Abstract: Computed Laminography (CL) has significant advantages in 3D imaging of plate-like objects. However, interlayer aliasing artifacts due to incomplete data acquisition limit its application. In ...

Our training pipeline leverages PyTorch and optimized CUDA extensions to efficiently produce high-quality trained models in record time. The MipNeRF360 scenes are hosted by the paper authors here. You ...

Abstract: Deep neural networks often require large-scale, accurately labeled datasets to perform well, but in practice the labels are frequently corrupted by noise in medical imaging, especially ...

Construct simulation assets: visualize object Gaussians, articulate robot Gaussians, define and render different object layouts. Deploy trained PhysTwin to simulate deformable object Gaussians. Train ...