ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.13782
  4. Cited By
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

24 June 2020
Francis Williams
Matthew Trager
Joan Bruna
Denis Zorin
ArXivPDFHTML

Papers citing "Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks"

41 / 41 papers shown
Title
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
Takeshi Noda
C. L. P. Chen
Junsheng Zhou
Weiqi Zhang
Yu-Shen Liu
Zhizhong Han
3DPC
50
3
0
31 Mar 2025
OffsetOPT: Explicit Surface Reconstruction without Normals
OffsetOPT: Explicit Surface Reconstruction without Normals
Huan Lei
3DPC
72
0
0
20 Mar 2025
HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints
Hrishikesh Viswanath
Md Ashiqur Rahman
Chi Lin
Damon Conover
Aniket Bera
70
0
0
11 Mar 2025
Inferring Neural Signed Distance Functions by Overfitting on Single
  Noisy Point Clouds through Finetuning Data-Driven based Priors
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
C. L. P. Chen
Yu-Shen Liu
Zhizhong Han
50
4
0
25 Oct 2024
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance
  Fields
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields
Haotian Yin
Przemyslaw Musialski
39
0
0
04 Oct 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with
  Spatial Adversaries
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi
A. Boukhayma
38
4
0
27 Aug 2024
Neural varifolds: an aggregate representation for quantifying the
  geometry of point clouds
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
Juheon Lee
Xiaohao Cai
Carola-Bibian Schönlieb
Simon Masnou
3DPC
52
0
0
05 Jul 2024
Unsupervised Occupancy Learning from Sparse Point Cloud
Unsupervised Occupancy Learning from Sparse Point Cloud
Amine Ouasfi
A. Boukhayma
38
12
0
03 Apr 2024
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features
Pietro Bonazzi
Marie-Julie Rakatosaona
Marco Cannici
Federico Tombari
Davide Scaramuzza
29
0
0
01 Apr 2024
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional
  Encoding
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding
Guying Lin
Lei Yang
Yuan Liu
Congyi Zhang
Junhui Hou
Xiaogang Jin
Taku Komura
John Keyser
Wenping Wang
52
1
0
02 Jan 2024
Robustifying Generalizable Implicit Shape Networks with a Tunable
  Non-Parametric Model
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
Amine Ouasfi
A. Boukhayma
3DPC
OOD
42
9
0
21 Nov 2023
Mixing-Denoising Generalizable Occupancy Networks
Mixing-Denoising Generalizable Occupancy Networks
Amine Ouasfi
A. Boukhayma
3DPC
AI4CE
3DV
31
8
0
20 Nov 2023
Choose Your Simulator Wisely: A Review on Open-source Simulators for
  Autonomous Driving
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
Yueyuan Li
Wei Yuan
Songan Zhang
Weihao Yan
Qiyuan Shen
Chunxiang Wang
Ming Yang
42
32
0
18 Nov 2023
Optimizing Implicit Neural Representations from Point Clouds via
  Energy-Based Models
Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models
Ryutaro Yamauchi
Jinya Sakurai
Ryo Furukawa
Tatsushi Matsubayashi
3DPC
25
0
0
05 Nov 2023
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis
  Functions
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
Zhe Chen
Zhong Li
Liangchen Song
Lele Chen
Jingyi Yu
Junsong Yuan
Yinghao Xu
28
57
0
27 Sep 2023
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented
  Point Clouds by Enforcing Singular Hessian
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Zixiong Wang
Yunxiao Zhang
Rui-Xue Xu
Fan Zhang
Pengshuai Wang
Shuangmin Chen
Shiqing Xin
Wenping Wang
Changhe Tu
35
18
0
04 Sep 2023
Neural Kernel Surface Reconstruction
Neural Kernel Surface Reconstruction
Jiahui Huang
Zan Gojcic
Matan Atzmon
Or Litany
Sanja Fidler
Francis Williams
3DV
43
68
0
31 May 2023
StEik: Stabilizing the Optimization of Neural Signed Distance Functions
  and Finer Shape Representation
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
Huizong Yang
Yuxin Sun
G. Sundaramoorthi
A. Yezzi
14
14
0
28 May 2023
Towards Better Gradient Consistency for Neural Signed Distance Functions
  via Level Set Alignment
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Baorui Ma
Junsheng Zhou
Yu-Shen Liu
Zhizhong Han
FedML
29
40
0
19 May 2023
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
Yiqun Wang
Ivan Skorokhodov
Peter Wonka
16
41
0
09 May 2023
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
Albert Pumarola
A. Sanakoyeu
Lior Yariv
Ali K. Thabet
Y. Lipman
AI4CE
50
22
0
25 Mar 2023
Unsupervised Inference of Signed Distance Functions from Single Sparse
  Point Clouds without Learning Priors
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
Chao Chen
Yu-Shen Liu
Zhizhong Han
3DPC
32
28
0
25 Mar 2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods
A Review of Deep Learning-Powered Mesh Reconstruction Methods
Zhiqin Chen
3DV
43
2
0
06 Mar 2023
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently
  Encode 3D Shapes
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
Sergey Zakharov
Rares Ambrus
Katherine Liu
Adrien Gaidon
3DV
24
4
0
12 Dec 2022
Isomorphic mesh generation from point clouds with multilayer perceptrons
Isomorphic mesh generation from point clouds with multilayer perceptrons
Shoko Miyauchi
K. Morooka
Ryo Kurazume
3DPC
29
1
0
21 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
58
485
0
12 Oct 2022
Implicit Conversion of Manifold B-Rep Solids by Neural Halfspace
  Representation
Implicit Conversion of Manifold B-Rep Solids by Neural Halfspace Representation
Haoxiang Guo
Yang Liu
Hao Pan
B. Guo
AI4CE
42
9
0
21 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
21
6
0
16 Sep 2022
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in
  Feature Space
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space
Amine Ouasfi
A. Boukhayma
3DPC
21
21
0
09 Jul 2022
Surface Reconstruction from Point Clouds: A Survey and a Benchmark
Surface Reconstruction from Point Clouds: A Survey and a Benchmark
Zhangjin Huang
Yuxin Wen
Zihao Wang
Jinjuan Ren
Kui Jia
3DV
3DPC
29
61
0
05 May 2022
Learning Smooth Neural Functions via Lipschitz Regularization
Learning Smooth Neural Functions via Lipschitz Regularization
Hsueh-Ti Derek Liu
Francis Williams
Alec Jacobson
Sanja Fidler
Or Litany
24
96
0
16 Feb 2022
Deep Surface Reconstruction from Point Clouds with Visibility
  Information
Deep Surface Reconstruction from Point Clouds with Visibility Information
Raphael Sulzer
Loic Landrieu
Alexandre Boulch
Renaud Marlet
Bruno Vallet
3DV
3DPC
17
9
0
03 Feb 2022
A Simple And Effective Filtering Scheme For Improving Neural Fields
A Simple And Effective Filtering Scheme For Improving Neural Fields
Yixin Zhuang
24
4
0
31 Jan 2022
Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor
  Series
Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series
Yuting Xiao
Jiale Xu
Shenghua Gao
3DV
30
0
0
18 Jan 2022
POCO: Point Convolution for Surface Reconstruction
POCO: Point Convolution for Surface Reconstruction
Alexandre Boulch
Renaud Marlet
3DPC
3DV
34
125
0
05 Jan 2022
Neural Fields as Learnable Kernels for 3D Reconstruction
Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams
Zan Gojcic
S. Khamis
Denis Zorin
Joan Bruna
Sanja Fidler
Or Litany
50
66
0
26 Nov 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
49
615
0
22 Nov 2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D
  Shape Synthesis
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen
Jun Gao
K. Yin
Xuan Li
Sanja Fidler
3DV
22
455
0
08 Nov 2021
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for
  Surface Reconstruction
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction
Zixiong Wang
Pengfei Wang
Pengshuai Wang
Qiujie Dong
Junjie Gao
Shuangmin Chen
Shiqing Xin
Changhe Tu
Wenping Wang
38
14
0
09 Sep 2021
DiGS : Divergence guided shape implicit neural representation for
  unoriented point clouds
DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
Yizhak Ben-Shabat
Chamin Pasidu Hewa Koneputugodage
Stephen Gould
AI4CE
30
64
0
21 Jun 2021
Phase Transitions, Distance Functions, and Implicit Neural
  Representations
Phase Transitions, Distance Functions, and Implicit Neural Representations
Y. Lipman
AI4CE
16
38
0
14 Jun 2021
1