Abstract: Despite significant advances in 2D image, enabled by foundation models, progress in 3D understanding, particularly in 6D pose estimation and shape reconstruction, remains limited by the ...
Abstract: Adversarial attacks on deep neural networks (DNNs) have raised significant concerns, particularly in safety-critical applications such as autonomous driving. Autonomous vehicles rely on both ...
We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting (SIGGRAPH 2023). Gaussian Splatting has recently become very popular as it yields realistic rendering ...
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