Search Results for author: Justin M. Solomon

Found 3 papers, 3 papers with code

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

4 code implementations NeurIPS 2019 Yue Wang, Justin M. Solomon

We present a simple, flexible, and general framework titled Partial Registration Network (PRNet), for partial-to-partial point cloud registration.

Point Cloud Registration Self-Supervised Learning

Deep Closest Point: Learning Representations for Point Cloud Registration

4 code implementations ICCV 2019 Yue Wang, Justin M. Solomon

To address local optima and other difficulties in the ICP pipeline, we propose a learning-based method, titled Deep Closest Point (DCP), inspired by recent techniques in computer vision and natural language processing.

Point Cloud Registration Visual Localization

Dynamic Graph CNN for Learning on Point Clouds

17 code implementations24 Jan 2018 Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices.

3D Part Segmentation 3D Semantic Segmentation +3

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