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. 1806.02143
  4. Cited By
Multi-chart Generative Surface Modeling

Multi-chart Generative Surface Modeling

6 June 2018
Heli Ben-Hamu
Haggai Maron
Itay Kezurer
G. Avineri
Y. Lipman
    MedIm
ArXivPDFHTML

Papers citing "Multi-chart Generative Surface Modeling"

19 / 19 papers shown
Title
Optimizing 3D Geometry Reconstruction from Implicit Neural
  Representations
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Shen Fan
Przemyslaw Musialski
AI4CE
19
0
0
16 Oct 2024
Test-Time Augmentation for 3D Point Cloud Classification and
  Segmentation
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
Tuan-Anh Vu
Srinjay Sarkar
Zhiyuan Zhang
Binh-Son Hua
Sai-Kit Yeung
3DPC
26
1
0
22 Nov 2023
3inGAN: Learning a 3D Generative Model from Images of a Self-similar
  Scene
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
28
12
0
27 Nov 2022
Learning to Generate 3D Shapes from a Single Example
Learning to Generate 3D Shapes from a Single Example
Rundi Wu
Changxi Zheng
GAN
3DV
12
33
0
05 Aug 2022
FakeNews: GAN-based generation of realistic 3D volumetric data -- A
  systematic review and taxonomy
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira
Jianning Li
Kelsey L. Pomykala
Jens Kleesiek
Victor Alves
Jan Egger
MedIm
21
23
0
04 Jul 2022
Range-GAN: Range-Constrained Generative Adversarial Network for
  Conditioned Design Synthesis
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
A. Nobari
Wei Chen
Faez Ahmed
GAN
AI4CE
6
11
0
10 Mar 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense
  Correspondence
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
Yu Deng
Jiaolong Yang
Xin Tong
14
149
0
27 Nov 2020
A curvature and density-based generative representation of shapes
A curvature and density-based generative representation of shapes
Zi Ye
Nobuyuki Umetani
Takeo Igarashi
T. Hoffmann
17
5
0
05 Sep 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
27
460
0
24 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
32
99
0
19 Feb 2020
Meshlet Priors for 3D Mesh Reconstruction
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki
Orazio Gallo
Jan Kautz
P. Sen
16
45
0
06 Jan 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point
  Clouds
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Albert Pumarola
S. Popov
Francesc Moreno-Noguer
V. Ferrari
3DPC
AI4CE
20
80
0
15 Dec 2019
Disentangled Human Body Embedding Based on Deep Hierarchical Neural
  Network
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Boyi Jiang
Juyong Zhang
Jianfei Cai
Jianmin Zheng
3DH
AI4CE
9
37
0
14 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
S. Zafeiriou
MedIm
3DH
14
161
0
08 May 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard A. Newcombe
S. Lovegrove
3DV
19
3,609
0
16 Jan 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
14
49
0
27 Dec 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
236
3,234
0
24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
164
1,940
0
24 Oct 2016
1