NVIDIA's unified 6D object pose estimation and tracking model — model-based (CAD) or model-free (reference images), no fine-tuning for novel objects. #1 on the BOP leaderboard at release. Research use only.
NVIDIA's unified 6D object pose estimation and tracking model — model-based (CAD) or model-free (reference images), no fine-tuning for novel objects. #1 on the BOP leaderboard at release. Research use only.
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FoundationPose (CVPR 2024 Highlight) is a unified foundation model for 6D object pose estimation and tracking that works both model-based (with a CAD model) and model-free (from a few reference images via neural implicit novel-view synthesis). Trained on large-scale synthetic data with LLM-aided generation and contrastive learning, it generalises to novel objects with no test-time fine-tuning and ranked #1 on the BOP leaderboard for model-based novel-object pose estimation at release (Mar 2024). ROS integration is available through NVIDIA Isaac ROS Pose Estimation.
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