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Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

5 September 2022

Sanjay Ranka

Papers citing "Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations"

33 / 33 papers shown

Title
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching Ramanathan Sundararaman R. Marin Emanuele Rodolà M. Ovsjanikov 94 8 0 26 Nov 2022
Learned Vertex Descent: A New Direction for 3D Human Model Fitting Enric Corona Gerard Pons-Moll Guillem Alenyà Francesc Moreno-Noguer 3DH 69 40 0 12 May 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 47 35 0 28 Apr 2022
BEHAVE: Dataset and Method for Tracking Human Object Interactions Bharat Lal Bhatnagar Xianghui Xie Ilya A. Petrov C. Sminchisescu Christian Theobalt Gerard Pons-Moll 87 189 0 14 Apr 2022
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 56 8 0 23 Mar 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 70 33 0 16 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching Abhishek Sharma M. Ovsjanikov 3DV 74 1 0 06 Oct 2021
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations K. Yin Jun Gao Maria Shugrina S. Khamis Sanja Fidler 3DPC 105 75 0 30 Aug 2021
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence Ronghan Chen Yang Cong Jiahua Dong 3DPC 48 4 0 26 Aug 2021
Shape registration in the time of transformers Giovanni Trappolini Luca Cosmo Luca Moschella R. Marin Simone Melzi Emanuele Rodolà ViT 3DPC MedIm 57 59 0 25 Jun 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger David Novotny Gael Kerchenbaum Patrick Labatut Natalia Neverova Daniel Cremers Andrea Vedaldi 3DH 3DPC 112 70 0 17 Jun 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 151 68 0 31 Dec 2020
Locally Linear Embedding and its Variants: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 57 28 0 22 Nov 2020
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 77 66 0 25 Oct 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration Bharat Lal Bhatnagar C. Sminchisescu Christian Theobalt Gerard Pons-Moll 3DH 141 132 0 23 Oct 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 100 158 0 31 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,559 0 03 Dec 2019
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes Dvir Ginzburg D. Raviv 3DPC 55 45 0 03 Dec 2019
Learning elementary structures for 3D shape generation and matching Theo Deprelle Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 61 187 0 13 Aug 2019
Smooth Shells: Multi-Scale Shape Registration with Functional Maps Marvin Eisenberger Zorah Lähner Daniel Cremers 59 96 0 29 May 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 169 2,541 0 18 Apr 2019
Unsupervised Deep Learning for Structured Shape Matching Jean-Michel Roufosse Abhishek Sharma M. Ovsjanikov 3DPC 50 139 0 10 Dec 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 173 329 0 13 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,149 0 24 Jan 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 166 441 0 24 Nov 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 149 286 0 27 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,353 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 412 1,823 0 25 Nov 2016
3D Menagerie: Modeling the 3D shape and pose of animals Silvia Zuffi Angjoo Kanazawa David Jacobs Michael J. Black 3DH 90 388 0 23 Nov 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 173 509 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Functional correspondence by matrix completion Artiom Kovnatsky M. Bronstein Xavier Bresson P. Vandergheynst 49 90 0 27 Dec 2014
Point-Set Registration: Coherent Point Drift Andriy Myronenko Xubo B. Song 3DPC 3DV 147 2,583 0 15 May 2009