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. 1811.10943
  4. Cited By
Deep Geometric Prior for Surface Reconstruction

Deep Geometric Prior for Surface Reconstruction

27 November 2018
Francis Williams
T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
    3DPC
ArXivPDFHTML

Papers citing "Deep Geometric Prior for Surface Reconstruction"

21 / 21 papers shown
Title
Fast Learning of Signed Distance Functions from Noisy Point Clouds via
  Noise to Noise Mapping
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
Junsheng Zhou
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
38
9
0
04 Jul 2024
MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from
  Segmented Volumetric Data
MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from Segmented Volumetric Data
Eva Boneš
Dawar Khan
Ciril Bohak
B. Barad
D. Grotjahn
Ivan Viola
T. Theußl
24
0
0
07 Apr 2024
Deep Internal Learning: Deep Learning from a Single Input
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer
Raja Giryes
Se Young Chun
Yonina C. Eldar
21
3
0
12 Dec 2023
Neural Stochastic Screened Poisson Reconstruction
Neural Stochastic Screened Poisson Reconstruction
Silvia Sellán
Alec Jacobson
3DV
25
5
0
21 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
J. Liu
62
31
0
27 Aug 2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields
  through Level Set Projection
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Junsheng Zhou
Baorui Ma
Shujuan Li
Yu-Shen Liu
Zhizhong Han
30
36
0
22 Aug 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise
  to Noise Mapping
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
22
23
0
02 Jun 2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Parametric Surface Constrained Upsampler Network for Point Cloud
Pingping Cai
Zhenyao Wu
Xinyi Wu
Song Wang
3DPC
25
5
0
14 Mar 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion
  Models
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Zhaoyang Lyu
Jinyi Wang
Yuwei An
Ya-Qin Zhang
Dahua Lin
Bo Dai
DiffM
34
36
0
14 Mar 2023
Neural Volumetric Mesh Generator
Neural Volumetric Mesh Generator
Yang Zheng
Lemeng Wu
Xingchao Liu
Zhe Chen
Qiang Liu
Qi-Xing Huang
DiffM
8
9
0
06 Oct 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
K. Jia
3DV
3DPC
19
57
0
05 May 2022
Diffeomorphic Image Registration with Neural Velocity Field
Diffeomorphic Image Registration with Neural Velocity Field
Kun Han
Shanlin Sun
Xiangyi Yan
Chenyu You
Hao Tang
Junayed Naushad
Haoyu Ma
Deying Kong
Xiaohui Xie
MedIm
20
21
0
25 Feb 2022
POCO: Point Convolution for Surface Reconstruction
POCO: Point Convolution for Surface Reconstruction
Alexandre Boulch
Renaud Marlet
3DPC
3DV
22
122
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
40
66
0
26 Nov 2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Amir Hertz
Or Perel
Raja Giryes
O. Sorkine-Hornung
Daniel Cohen-Or
3DH
AI4CE
11
4
0
11 Oct 2021
Shape As Points: A Differentiable Poisson Solver
Shape As Points: A Differentiable Poisson Solver
Songyou Peng
C. Jiang
Yiyi Liao
Michael Niemeyer
Marc Pollefeys
Andreas Geiger
3DPC
11
231
0
07 Jun 2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent
  Kernel Perspective
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
Lei Chu
Hao Pan
Wenping Wang
3DPC
32
11
0
19 Apr 2021
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Shilin Liu
Haoxiang Guo
Hao Pan
Peng-Shuai Wang
Xin Tong
Yang Liu
3DPC
3DV
13
97
0
23 Mar 2021
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
20
153
0
26 Nov 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D
  Reconstruction
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 A. Newcombe
13
459
0
24 Mar 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
11
846
0
24 Feb 2020
1