F-INR: Functional Tensor Decomposition for Implicit Neural Representations

27 March 2025

Sai Karthikeya Vemuri

Papers citing "F-INR: Functional Tensor Decomposition for Implicit Neural Representations"

27 / 27 papers shown

Title
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 119 22 0 22 Jan 2023
WIRE: Wavelet Implicit Neural Representations Vishwanath Saragadam Daniel LeJeune Jasper Tan Guha Balakrishnan Ashok Veeraraghavan Richard G. Baraniuk AI4CE 88 144 0 05 Jan 2023
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction Tong Wu Jiaqi Wang Xingang Pan Xudong Xu Christian Theobalt Ziwei Liu Dahua Lin 78 101 0 26 Aug 2022
TensoRF: Tensorial Radiance Fields Anpei Chen Zexiang Xu Andreas Geiger Jingyi Yu Hao Su 111 1,310 0 17 Mar 2022
MIONet: Learning multiple-input operators via tensor product Pengzhan Jin Shuai Meng Lu Lu 70 173 0 12 Feb 2022
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture Ruofan Liang Hongyi Sun Nandita Vijaykumar 37 17 0 28 Jan 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 336 4,045 0 16 Jan 2022
I M Avatar: Implicit Morphable Head Avatars from Videos Yufeng Zheng Victoria Fernandez-Abrevaya Marcel C. Bühler Xu Chen Michael J. Black Otmar Hilliges 3DH 96 215 0 14 Dec 2021
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Anthony Simeonov Yilun Du Andrea Tagliasacchi J. Tenenbaum Alberto Rodriguez Pulkit Agrawal Vincent Sitzmann 122 248 0 09 Dec 2021
Implicit Neural Representations for Image Compression Yannick Strümpler Janis Postels Ren Yang Luc van Gool F. Tombari 73 164 0 08 Dec 2021
Full-Body Visual Self-Modeling of Robot Morphologies Boyuan Chen Robert Kwiatkowski Carl Vondrick Hod Lipson 70 11 0 11 Nov 2021
NeRV: Neural Representations for Videos Hao Chen Bo He Hanyu Wang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 57 253 0 26 Oct 2021
3D Neural Scene Representations for Visuomotor Control Yunzhu Li Shuang Li Vincent Sitzmann Pulkit Agrawal Antonio Torralba 114 141 0 08 Jul 2021
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 180 1,743 0 03 Dec 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images Chen-Hsuan Lin Chaoyang Wang Simon Lucey 124 101 0 20 Oct 2020
When and why PINNs fail to train: A neural tangent kernel perspective Sizhuang He Xinling Yu P. Perdikaris 141 916 0 28 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 124 2,440 0 18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 62 251 0 17 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 165 2,571 0 17 Jun 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 125 861 0 24 Feb 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 71 1,000 0 16 Dec 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 140 513 0 23 Nov 2019
Stochastic Gradients for Large-Scale Tensor Decomposition T. Kolda David Hong 56 56 0 04 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 169 1,282 0 04 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
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review T. Poggio H. Mhaskar Lorenzo Rosasco Brando Miranda Q. Liao 124 576 0 02 Nov 2016
Parallel Tensor Compression for Large-Scale Scientific Data W. Austin Grey Ballard T. Kolda 43 140 0 22 Oct 2015