NOPE: Novel Object Pose Estimation from a Single Image
Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
摘要
Reference Query Predicted pose Pose distribution Reference Query Predicted pose Pose distribution Figure 1 . Given as input a single reference view of a novel object, our method predicts the relative 3D pose (rotation) of a query view and its ambiguities. We visualize the predicted pose by rendering the object from this pose, but the 3D model is only used for visualization purposes, not as input to our method. Our method works by estimating a probability distribution over the space of 3D poses, visualized here on a sphere centered on the object. We use the canonical pose of the 3D model to visualize this distribution, but not as input to our method. From this distribution, we can also identify the pose ambiguities: For example, in the case of the bottle, any pose with the same pitch and roll is possible; in the case of the mug, a range of poses are possible as the handle is not visible in the query image. Our method is also robust to partial occlusions, as shown on the clock hidden in part by a rectangle in the query image.
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引用它的顶会 Paper17
- GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceVan Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent LepetitCVPR 2024 · 被引用 67 次
- ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept VectorsLiming Kuang, Yordanka Velikova, Mahdi Saleh, Jan-Nico Zaech 等CVPR 2026 · 被引用 5 次
- BoxDreamer: Dreaming Box Corners for Generalizable Object Pose EstimationYuanhong Yu, Xingyi He, Chen Zhao, Junhao Yu 等ICCV 2025 · 被引用 3 次
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- COG: Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object Pose EstimationYuchen Che, JINGTU WU, Hao ZHENG, Asako KanezakiCVPR 2026 · 被引用 1 次
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