v1v2 (latest)

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

6 August 2020

Papers citing "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"

50 / 68 papers shown

Title
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 144 0 0 01 Nov 2024
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs Moayed Haji-Ali Andrew Bond Tolga Birdal Duygu Ceylan Levent Karacan Erkut Erdem Aykut Erdem VGen DiffM 191 2 0 12 Apr 2023
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 74 81 0 18 Jun 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken Samy Wu Fung Xingjian Li Lars Ruthotto OT 62 161 0 29 May 2020
Time Dependence in Non-Autonomous Neural ODEs Jared Davis K. Choromanski Jacob Varley Honglak Lee Jean-Jacques E. Slotine Valerii Likhosterov Adrian Weller A. Makadia Vikas Sindhwani OOD AI4TS 21 15 0 05 May 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation Jinwei Gu Hadar Averbuch-Elor Noah Snavely Serge J. Belongie 3DPC 57 113 0 06 Apr 2020
RPM-Net: Robust Point Matching using Learned Features Zi Jian Yew Gim Hee Lee 3DPC 64 441 0 30 Mar 2020
V4D:4D Convolutional Neural Networks for Video-level Representation Learning Shiwen Zhang Sheng Guo Weilin Huang Matthew R. Scott Limin Wang 40 71 0 18 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay J. Jacobsen L. Nurbekyan Adam M. Oberman 64 301 0 07 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas Guibas 3DH 3DPC 3DV 51 30 0 06 Feb 2020
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation Dengsheng Chen Jun Li Zheng Wang Kai Xu DRL 3DPC 67 188 0 25 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 101 89 0 27 Dec 2019
Deep Learning for 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 101 1,682 0 27 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 120 80 0 15 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,713 0 05 Dec 2019
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation Zirui Wang Shuda Li Henry Howard-Jenkins V. Prisacariu Min Chen 3DPC 62 92 0 03 Dec 2019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors Sergey Zakharov Wadim Kehl Arjun Bhargava Adrien Gaidon 3DPC 120 115 0 26 Nov 2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences Xingyu Liu Mengyuan Yan Jeannette Bohg 3DPC 57 194 0 21 Oct 2019
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 82 141 0 12 Oct 2019
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies Jonas Köhler Leon Klein Frank Noé 81 91 0 02 Oct 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 67 64 0 30 Sep 2019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion David Novotny Nikhila Ravi Benjamin Graham Natalia Neverova Andrea Vedaldi 3DPC 67 110 0 05 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 86 58 0 25 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Haoliang Sun Ronak R. Mehta H. Zhou Z. Huang Sterling C. Johnson V. Prabhakaran Vikas Singh MedIm 76 46 0 21 Aug 2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting Chaoyun Zhang M. Fiore Iain Murray P. Patras 3DPC AI4TS 50 32 0 29 Jul 2019
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds L. Prantl N. Chentanez S. Jeschke Nils Thuerey 3DPC 38 14 0 03 Jul 2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction Srinath Sridhar Davis Rempe Julien P. C. Valentin Sofien Bouaziz Leonidas Guibas 3DV 61 33 0 01 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 101 671 0 28 Jun 2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds Xiuye Gu Yijie Wang Chongruo Wu Yong Jae Lee Panqu Wang 3DPC 131 209 0 12 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 74 165 0 30 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 86 42 0 01 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
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Chris Choy JunYoung Gwak Silvio Savarese 3DPC 167 1,792 0 18 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 150 632 0 02 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation He Wang Srinath Sridhar Jingwei Huang Julien P. C. Valentin Shuran Song Leonidas Guibas 116 696 0 09 Jan 2019
3D Point Capsule Networks Yongheng Zhao Tolga Birdal Haowen Deng Federico Tombari 3DPC 62 337 0 27 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 251 2,907 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 150 1,638 0 06 Dec 2018
Learning 3D Human Dynamics from Video Yang Liu Jason Y. Zhang Lei Lin Jitendra Malik 3DH 82 518 0 04 Dec 2018
DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann Justus Thies Felix Heide Matthias Nießner Gordon Wetzstein Michael Zollhöfer SSL 3DPC MDE 131 669 0 03 Dec 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 62 27 0 08 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 154 881 0 02 Oct 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 87 63 0 26 Sep 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors Haowen Deng Tolga Birdal Slobodan Ilic 3DPC 94 391 0 30 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 300 3,141 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 429 5,157 0 19 Jun 2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds Xingyu Liu C. Qi Leonidas Guibas 3DPC 88 481 0 04 Jun 2018
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects Martin Rünz Maud Buffier Lourdes Agapito 113 353 0 24 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wen Liu Yu-Gang Jiang 3DV 113 1,332 0 05 Apr 2018