Excited to share two recent works pushing the frontier of 3D perception for physical AI:
🌟 #MPA3D (#CVPR2026 Spotlight) introduces a novel 3D perception model that leverages surfels and 3D Gaussian Splatting (3DGS) to provide rich scene context, removing the dependency on HD maps.
Paper: arxiv.org/pdf/2605.22997
📈 #STELLAR is a new #FoundationModel for 3D world perception in physical autonomy. By combining pre-training, mid-training, and fine-tuning, and scaling across data, model size, and tasks, #STELLAR sets a new SOTA on the Waymo Open Dataset benchmark.
Paper: arxiv.org/pdf/2605.20390
Huge thanks to @yingwei_li @yangliux1 @yangfu21 @ylzou_Zack and all our incredible co-authors behind these works!
Come stop by our poster if you’re attending CVPR next week.
#CVPR #AutonomousDriving #PhysicalAI
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