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Hyeontae Son

2 accepted papers

2025

Co-op: Correspondence-based Novel Object Pose Estimation

CVPR 2025poster

We propose Co-op, a novel method for accurately and robustly estimating the 6DoF pose of objects unseen during training from a single RGB image. Our method requires only the CAD model of the target object and can precisely estimate its pose without any additional fine-tuning. While existing model-ba…

Cited by 1SourcePDFScholar
2024

GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects

CVPR 2024poster

Despite the progress of learning-based methods for 6D object pose estimation the trade-off between accuracy and scalability for novel objects still exists. Specifically previous methods for novel objects do not make good use of the target object's 3D shape information since they focus on generalizat…

Cited by 15SourcePDFScholar