Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning

NeurIPS 2018 Supasorn SuwajanakornNoah SnavelyJonathan TompsonMohammad Norouzi

This paper presents KeypointNet, an end-to-end geometric reasoning framework to learn an optimal set of category-specific 3D keypoints, along with their detectors. Given a single image, KeypointNet extracts 3D keypoints that are optimized for a downstream task... (read more)

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