ManiFlow: Implicitly Representing Manifolds with Normalizing Flows

18 August 2022

Luc Van Gool

Papers citing "ManiFlow: Implicitly Representing Manifolds with Normalizing Flows"

32 / 32 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
Score-Based Point Cloud Denoising Shitong Luo Wei Hu DiffM 88 159 0 23 Jul 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction Janis Postels Mengya Liu Riccardo Spezialetti Luc Van Gool Federico Tombari AI4CE 3DPC 47 22 0 06 Jun 2021
Variational Transformer Networks for Layout Generation Diego Martin Arroyo Janis Postels F. Tombari ViT DRL 41 131 0 06 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 267 748 0 02 Mar 2021
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 67 8 0 04 Dec 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 116 286 0 14 Aug 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 68 107 0 20 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 90 360 0 25 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 54 26 0 23 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 694 18,310 0 19 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 96 126 0 18 Jun 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds Hyeongju Kim Hyeonseung Lee Woohyun Kang Joun Yeop Lee N. Kim 3DPC 43 116 0 08 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 92 163 0 31 Mar 2020
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 53 176 0 13 Mar 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 124 80 0 15 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 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
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
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 134 624 0 02 Nov 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 156 881 0 02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,141 0 09 Jul 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 59 266 0 13 Jun 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 146 1,184 0 15 Feb 2018
Open3D: A Modern Library for 3D Data Processing Qian-Yi Zhou Jaesik Park V. Koltun PINN AI4CE 67 1,621 0 30 Jan 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Normalizing Flows on Riemannian Manifolds Mevlana Gemici Danilo Jimenez Rezende S. Mohamed BDL 70 106 0 07 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 172 5,538 0 09 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013