Generative Models as Distributions of Functions

9 February 2021

Papers citing "Generative Models as Distributions of Functions"

50 / 74 papers shown

Title
Hyper-Transforming Latent Diffusion Models I. Peis Batuhan Koyuncu Isabel Valera J. Frellsen 169 1 0 23 Apr 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang Junjie Ren A. Yang Yan Lu Lu Chen Hairun Xie Jing Wang Miao Zhang W. Ouyang Shixiang Tang 442 0 0 15 Feb 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 138 0 0 04 Feb 2025
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli 137 2 0 10 Jan 2025
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 83 7 0 18 Sep 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 111 9 0 09 Jun 2024
Hiding Functions within Functions: Steganography by Implicit Neural Representations Jia-Wei Liu Peng Luo Yan Ke Dang Qian Zhang Minqing Mu Dejun GAN 93 4 0 07 Dec 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 151 47 0 14 Feb 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 267 30,123 0 01 Mar 2022
Learning Continuous Image Representation with Local Implicit Image Function Yinbo Chen Sifei Liu Xiaolong Wang SSL SupR CLL 84 675 0 16 Dec 2020
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 173 1,737 0 03 Dec 2020
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis E. R. Chan M. Monteiro Petr Kellnhofer Jiajun Wu Gordon Wetzstein GAN 114 854 0 02 Dec 2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes Albert Pumarola Enric Corona Gerard Pons-Moll Francesc Moreno-Noguer 109 1,437 0 27 Nov 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 67 158 0 27 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 144 962 0 24 Nov 2020
Adversarial Generation of Continuous Images Ivan Skorokhodov Savva Ignatyev Mohamed Elhoseiny GAN 55 174 0 24 Nov 2020
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 40 82 0 29 Oct 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 100 286 0 14 Aug 2020
Accelerating 3D Deep Learning with PyTorch3D Nikhila Ravi Jeremy Reizenstein David Novotny Taylor Gordon Wan-Yen Lo Justin Johnson Georgia Gkioxari 3DPC 113 921 0 16 Jul 2020
Gradient Origin Networks Sam Bond-Taylor Chris G. Willcocks BDL DRL 65 18 0 06 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 129 872 0 05 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 116 2,414 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 128 2,548 0 17 Jun 2020
Equivariant Neural Rendering Emilien Dupont Miguel Angel Bautista Alex Colburn Aditya Sankar Carlos Guestrin J. Susskind Qi Shan 3DH 78 63 0 13 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 53 32 0 12 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 104 143 0 09 Jun 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 292 277 0 24 Mar 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 299 561 0 19 Mar 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 124 2,595 0 19 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Xu Yan Chaoda Zheng Zhuguo Li Sheng Wang Shuguang Cui 3DPC 89 549 0 01 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 116 323 0 25 Feb 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 106 858 0 24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
Hypernetwork approach to generating point clouds Przemysław Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 70 34 0 10 Feb 2020
Adversarial Generation of Continuous Implicit Shape Representations Marian Kleineberg Matthias Fey F. Weichert 3DPC GAN 64 61 0 02 Feb 2020
Deep Learning for 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 91 1,674 0 27 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 69 995 0 16 Dec 2019
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 493 42,407 0 03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 279 5,810 0 03 Dec 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 132 511 0 23 Nov 2019
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 78 166 0 29 Oct 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 151 1,279 0 04 Jun 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 154 2,535 0 18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 96 893 0 16 Apr 2019
COCO-GAN: Generation by Parts via Conditional Coordinating Chieh Hubert Lin Chia-Che Chang Yu-Sheng Chen Da-Cheng Juan Wei Wei Hwann-Tzong Chen 54 135 0 30 Mar 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 88 442 0 17 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,683 0 16 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 563 10,551 0 12 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 236 2,897 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 142 1,631 0 06 Dec 2018