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SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries
of 3D Shapes from Single-View RGB-D Images

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SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

ACM Transactions on Graphics (TOG), 2020

2 August 2020

Szymon Rusinkiewicz

Kai Xu

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Papers citing "SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images"

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Title
Robust Symmetry Detection via Riemannian Langevin DynamicsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024 Jihyeon Je Jiayi Liu Guandao Yang Boyang Deng Shengqu Cai Gordon Wetzstein Or Litany Leonidas Guibas 128 11 0 18 Sep 2024
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks S. Balachandar A. Poulenard Congyue Deng Leonidas Guibas 173 1 0 29 Oct 2022
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud Abhishek Sharma M. Ovsjanikov 3DPC 3DV 135 1 0 05 Dec 2021
Learning Canonical Embedding for Non-rigid Shape Matching Abhishek Sharma M. Ovsjanikov 3DV 148 1 0 06 Oct 2021
Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds Mihaela C. Stoian Tommaso Cavallari 3DPC 64 0 0 30 Jun 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 148 3 0 07 Apr 2021