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PINs: Progressive Implicit Networks for Multi-Scale Neural Representations

9 February 2022

Papers citing "PINs: Progressive Implicit Networks for Multi-Scale Neural Representations"

33 / 33 papers shown

Title
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation David B. Lindell Dave Van Veen Jeong Joon Park Gordon Wetzstein 92 151 0 09 Dec 2021
OctField: Hierarchical Implicit Functions for 3D Modeling Jiapeng Tang Weikai Chen Jie Yang Bo Wang Songrun Liu Bo Yang Lin Gao 60 39 0 01 Nov 2021
Multiresolution Deep Implicit Functions for 3D Shape Representation Zhang Chen Yinda Zhang Kyle Genova S. Fanello Sofien Bouaziz Christian Haene Ruofei Du Cem Keskin Thomas Funkhouser Danhang Tang 3DV 104 50 0 12 Sep 2021
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories Wonbong Jang Lourdes Agapito 88 220 0 03 Sep 2021
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields Yifan Wang Lukas Rahmann O. Sorkine-Hornung 65 68 0 09 Jun 2021
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Peng-Shuai Wang Yang Liu Yu-Qi Yang Xin Tong 3DPC 118 29 0 03 Jun 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization Amir Hertz Or Perel Raja Giryes O. Sorkine-Hornung Daniel Cohen-Or 63 69 0 19 Apr 2021
PlenOctrees for Real-time Rendering of Neural Radiance Fields Alex Yu Ruilong Li Matthew Tancik Hao Li Ren Ng Angjoo Kanazawa 93 1,077 0 25 Mar 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs Christian Reiser Songyou Peng Yiyi Liao Andreas Geiger 55 825 0 25 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 123 1,989 0 24 Mar 2021
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 184 1,749 0 03 Dec 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 164 963 0 24 Nov 2020
Adversarial Generation of Continuous Images Ivan Skorokhodov Savva Ignatyev Mohamed Elhoseiny GAN 97 174 0 24 Nov 2020
Neural Scene Graphs for Dynamic Scenes Julian Ost Fahim Mannan Nils Thuerey Julian Knodt Felix Heide GNN OCL AI4CE 106 303 0 20 Nov 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 173 874 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 135 2,449 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 174 2,579 0 17 Jun 2020
FroDO: From Detections to 3D Objects Kejie Li Martin Rünz Meng Tang Lingni Ma Chen Kong ... Ian Reid Lourdes Agapito Julian Straub S. Lovegrove Richard Newcombe 3DPC 71 72 0 11 May 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra J. E. Lenssen Eddy Ilg Tanner Schmidt Julian Straub S. Lovegrove Richard Newcombe 91 466 0 24 Mar 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density Ronen Basri Meirav Galun Amnon Geifman David Jacobs Yoni Kasten S. Kritchman 92 185 0 10 Mar 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 82 1,000 0 16 Dec 2019
Learning to Infer Implicit Surfaces without 3D Supervision Shichen Liu Shunsuke Saito Weikai Chen Hao Li 3DV 101 198 0 02 Nov 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 73 255 0 12 Sep 2019
Reconstructing continuous distributions of 3D protein structure from cryo-EM images Ellen D. Zhong Tristan Bepler Joseph H. Davis Bonnie Berger 3DV 70 110 0 11 Sep 2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization Shunsuke Saito Zeng Huang Ryota Natsume Shigeo Morishima Angjoo Kanazawa Hao Li 3DH 174 1,259 0 13 May 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 135 3,709 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 253 2,909 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 157 1,639 0 06 Dec 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 167 1,456 0 22 Jun 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 808 132,725 0 12 Jun 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 262 10,273 0 27 Mar 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014