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  4. Cited By
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

16 January 2019
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
    3DV
ArXiv (abs)PDFHTML

Papers citing "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation"

50 / 2,668 papers shown
Title
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction
  for Indoor Scenes from a Single Image
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageComputer Vision and Pattern Recognition (CVPR), 2020
Y. Nie
Xiaoguang Han
Shihui Guo
Yujian Zheng
Jian Chang
Jianjun Zhang
3DV
263
232
0
27 Feb 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning ShapesInternational Conference on Machine Learning (ICML), 2020
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
363
959
0
24 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
PolyGen: An Autoregressive Generative Model of 3D MeshesInternational Conference on Machine Learning (ICML), 2020
C. Nash
Yaroslav Ganin
A. Eslami
Peter W. Battaglia
AI4CE
250
305
0
23 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation PerspectiveComputational Visual Media (CVM), 2020
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DHAI4TS
191
114
0
19 Feb 2020
Analytic Marching: An Analytic Meshing Solution from Deep Implicit
  Surface Networks
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface NetworksInternational Conference on Machine Learning (ICML), 2020
Jiabao Lei
Kui Jia
116
24
0
16 Feb 2020
Adversarial Generation of Continuous Implicit Shape Representations
Adversarial Generation of Continuous Implicit Shape RepresentationsEurographics (EG), 2020
Marian Kleineberg
Matthias Fey
F. Weichert
3DPCGAN
210
64
0
02 Feb 2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud
  Processing
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud ProcessingInternational Conference on Learning Representations (ICLR), 2020
Xingzhe He
Helen Lu Cao
Bo Zhu
3DPC
124
10
0
01 Feb 2020
The Whole Is Greater Than the Sum of Its Nonrigid Parts
The Whole Is Greater Than the Sum of Its Nonrigid Parts
Oshri Halimi
I. Imanuel
Or Litany
Giovanni Trappolini
Emanuele Rodolà
Leonidas Guibas
Ron Kimmel
3DPC3DV
170
11
0
27 Jan 2020
RoutedFusion: Learning Real-time Depth Map Fusion
RoutedFusion: Learning Real-time Depth Map FusionComputer Vision and Pattern Recognition (CVPR), 2020
Silvan Weder
Johannes L. Schonberger
Marc Pollefeys
Martin R. Oswald
127
85
0
13 Jan 2020
Meshlet Priors for 3D Mesh Reconstruction
Meshlet Priors for 3D Mesh ReconstructionComputer Vision and Pattern Recognition (CVPR), 2020
Abhishek Badki
Orazio Gallo
Jan Kautz
P. Sen
263
46
0
06 Jan 2020
InSphereNet: a Concise Representation and Classification Method for 3D
  Object
InSphereNet: a Concise Representation and Classification Method for 3D ObjectConference on Multimedia Modeling (MMM), 2019
H. Cao
Haikuan Du
Siyu Zhang
Shen Cai
3DPC
178
9
0
25 Dec 2019
Front2Back: Single View 3D Shape Reconstruction via Front to Back
  Prediction
Front2Back: Single View 3D Shape Reconstruction via Front to Back PredictionComputer Vision and Pattern Recognition (CVPR), 2019
Yuan Yao
Nico Schertler
Enrique Rosales
Helge Rhodin
Leonid Sigal
Alla Sheffer
197
49
0
23 Dec 2019
Learning to Generate Dense Point Clouds with Textures on Multiple
  Categories
Learning to Generate Dense Point Clouds with Textures on Multiple CategoriesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
T. Hu
Geng Lin
Zhizhong Han
Matthias Zwicker
3DPC3DV
132
13
0
22 Dec 2019
Surface HOF: Surface Reconstruction from a Single Image Using Higher
  Order Function Networks
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function NetworksInternational Conference on Information Photonics (ICIP), 2019
ZiYun Wang
Volkan Isler
Daniel D. Lee
106
5
0
18 Dec 2019
Learning Regional Attraction for Line Segment Detection
Learning Regional Attraction for Line Segment DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Nan Xue
S. Bai
Fudong Wang
Guisong Xia
Tianfu Wu
Liangpei Zhang
Juil Sock
149
35
0
18 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D SupervisionComputer Vision and Pattern Recognition (CVPR), 2019
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH3DV
418
1,061
0
16 Dec 2019
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape
  Optimization
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape OptimizationComputer Vision and Pattern Recognition (CVPR), 2019
Yue Jiang
Dantong Ji
Zhizhong Han
Matthias Zwicker
254
251
0
15 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point
  Clouds
C-Flow: Conditional Generative Flow Models for Images and 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2019
Albert Pumarola
S. Popov
Francesc Moreno-Noguer
V. Ferrari
3DPCAI4CE
260
87
0
15 Dec 2019
Local Deep Implicit Functions for 3D Shape
Local Deep Implicit Functions for 3D Shape
Kyle Genova
Forrester Cole
Avneesh Sud
Aaron Sarna
Thomas Funkhouser
3DV3DPC
227
50
0
12 Dec 2019
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
Kohei Yamashita
S. Nobuhara
Ko Nishino
3DGS3DV
117
1
0
10 Dec 2019
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering
  Tool
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering ToolComputer Vision and Pattern Recognition (CVPR), 2019
Konstantinos Rematas
V. Ferrari
3DH
178
42
0
10 Dec 2019
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
Shape-Aware Organ Segmentation by Predicting Signed Distance MapsAAAI Conference on Artificial Intelligence (AAAI), 2019
Yuan Xue
Hui Tang
Zhi Qiao
G. Gong
Yong Yin
Zhen Qian
Chao Huang
Wei Fan
Xiaolei Huang
MedIm
147
136
0
09 Dec 2019
VoronoiNet: General Functional Approximators with Local Support
VoronoiNet: General Functional Approximators with Local Support
Francis Williams
Daniele Panozzo
K. M. Yi
Andrea Tagliasacchi
111
18
0
08 Dec 2019
NASA: Neural Articulated Shape Approximation
NASA: Neural Articulated Shape ApproximationEuropean Conference on Computer Vision (ECCV), 2019
Boyang Deng
J. P. Lewis
Timothy Jeruzalski
Gerard Pons-Moll
Geoffrey E. Hinton
Mohammad Norouzi
Andrea Tagliasacchi
407
220
0
06 Dec 2019
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for
  Unseen Object Pose Estimation
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose EstimationComputer Vision and Pattern Recognition (CVPR), 2019
Keunhong Park
Arsalan Mousavian
Yu Xiang
Dieter Fox
403
145
0
01 Dec 2019
Morphing and Sampling Network for Dense Point Cloud Completion
Morphing and Sampling Network for Dense Point Cloud CompletionAAAI Conference on Artificial Intelligence (AAAI), 2019
Minghua Liu
Lu Sheng
Sheng Yang
Jing Shao
Shimin Hu
3DPC
286
343
0
30 Nov 2019
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene
  Completion of RGB-D Scans
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D ScansComputer Vision and Pattern Recognition (CVPR), 2019
Angela Dai
Christian Diller
Matthias Nießner
3DPC3DV
348
150
0
29 Nov 2019
DIST: Rendering Deep Implicit Signed Distance Function with
  Differentiable Sphere Tracing
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere TracingComputer Vision and Pattern Recognition (CVPR), 2019
Gangyan Zeng
Yinda Zhang
Songyou Peng
Boxin Shi
Marc Pollefeys
Zhaopeng Cui
281
304
0
29 Nov 2019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape
  Priors
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape PriorsComputer Vision and Pattern Recognition (CVPR), 2019
Sergey Zakharov
Wadim Kehl
Arjun Bhargava
Adrien Gaidon
3DPC
319
123
0
26 Nov 2019
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
PQ-NET: A Generative Part Seq2Seq Network for 3D ShapesComputer Vision and Pattern Recognition (CVPR), 2019
Rundi Wu
Yixin Zhuang
Kai Xu
Hao Zhang
Baoquan Chen
3DPC3DV
351
184
0
25 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw DataComputer Vision and Pattern Recognition (CVPR), 2019
Matan Atzmon
Y. Lipman
3DPCFedML
379
566
0
23 Nov 2019
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape
  Reconstruction
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape ReconstructionEuropean Conference on Computer Vision (ECCV), 2019
Jiongchao Jin
A. Patil
Z. Xiong
Hao Zhang
234
12
0
20 Nov 2019
Self-supervised Learning of 3D Objects from Natural Images
Self-supervised Learning of 3D Objects from Natural Images
Hiroharu Kato
Tatsuya Harada
111
7
0
20 Nov 2019
SSRNet: Scalable 3D Surface Reconstruction Network
SSRNet: Scalable 3D Surface Reconstruction NetworkComputer Vision and Pattern Recognition (CVPR), 2019
Zhenxing Mi
Yimin Luo
Wenbing Tao
3DV3DPC
340
65
0
18 Nov 2019
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
BSP-Net: Generating Compact Meshes via Binary Space PartitioningComputer Vision and Pattern Recognition (CVPR), 2019
Zhiqin Chen
Andrea Tagliasacchi
Hao Zhang
498
336
0
16 Nov 2019
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula
Edward James Smith
Jean-Francois Lafleche
Clement Fuji-Tsang
Artem Rozantsev
Wenzheng Chen
Tommy Xiang
Rev Lebaredian
Sanja Fidler
3DPCAI4CE
232
136
0
12 Nov 2019
Learning to Infer Implicit Surfaces without 3D Supervision
Learning to Infer Implicit Surfaces without 3D SupervisionNeural Information Processing Systems (NeurIPS), 2019
Shichen Liu
Forrest Iandola
Weikai Chen
Hao Li
3DV
202
211
0
02 Nov 2019
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Addressing the Sim2Real Gap in Robotic 3D Object ClassificationIEEE Robotics and Automation Letters (RA-L), 2019
Jean-Baptiste Weibel
T. Patten
Markus Vincze
3DPC
122
15
0
28 Oct 2019
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
Learning Continuous 3D Reconstructions for Geometrically Aware GraspingIEEE International Conference on Robotics and Automation (ICRA), 2019
Mark Van der Merwe
Qingkai Lu
Balakumar Sundaralingam
Martin Matak
Tucker Hermans
3DV
219
98
0
02 Oct 2019
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance
  and Shape Completion
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape CompletionIEEE International Conference on Robotics and Automation (ICRA), 2019
Wei Gao
Russ Tedrake
119
56
0
16 Sep 2019
CvxNet: Learnable Convex Decomposition
CvxNet: Learnable Convex DecompositionComputer Vision and Pattern Recognition (CVPR), 2019
Boyang Deng
Kyle Genova
S. Yazdani
Sofien Bouaziz
Geoffrey E. Hinton
Andrea Tagliasacchi
262
276
0
12 Sep 2019
3D Morphable Face Models -- Past, Present and Future
3D Morphable Face Models -- Past, Present and FutureACM Transactions on Graphics (TOG), 2019
Bernhard Egger
W. Smith
A. Tewari
Stefanie Wuhrer
Michael Zollhoefer
...
Adam Kortylewski
S. Romdhani
Christian Theobalt
V. Blanz
T. Vetter
3DH
246
475
0
03 Sep 2019
Efficient Learning on Point Clouds with Basis Point Sets
Efficient Learning on Point Clouds with Basis Point SetsIEEE International Conference on Computer Vision (ICCV), 2019
Sergey Prokudin
Christoph Lassner
Javier Romero
3DPC
156
139
0
24 Aug 2019
Deep Meta Functionals for Shape Representation
Deep Meta Functionals for Shape RepresentationIEEE International Conference on Computer Vision (ICCV), 2019
G. Littwin
Lior Wolf
3DPC
162
85
0
17 Aug 2019
SDM-NET: Deep Generative Network for Structured Deformable Mesh
SDM-NET: Deep Generative Network for Structured Deformable Mesh
Lin Gao
Jie Yang
Tong Wu
Yu-Jie Yuan
Hongbo Fu
Yu-Kun Lai
Hao Zhang
3DV
208
212
0
13 Aug 2019
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
Pixel2Mesh++: Multi-View 3D Mesh Generation via DeformationIEEE International Conference on Computer Vision (ICCV), 2019
Chao Wen
Yinda Zhang
Zhuwen Li
Yanwei Fu
3DV
213
263
0
05 Aug 2019
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a
  Mapping from Parts Detected in Multiple Views to Sentences
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to SentencesACM Multimedia (ACM MM), 2019
Zhizhong Han
Chao Chen
Yu-Shen Liu
Matthias Zwicker
3DPC
165
49
0
31 Jul 2019
Higher-Order Function Networks for Learning Composable 3D Object
  Representations
Higher-Order Function Networks for Learning Composable 3D Object RepresentationsInternational Conference on Learning Representations (ICLR), 2019
E. Mitchell
Kazim Selim Engin
Volkan Isler
Daniel D. Lee
AI4CE3DPC
145
22
0
24 Jul 2019
Multiview Aggregation for Learning Category-Specific Shape
  Reconstruction
Multiview Aggregation for Learning Category-Specific Shape ReconstructionNeural Information Processing Systems (NeurIPS), 2019
Srinath Sridhar
Davis Rempe
Julien P. C. Valentin
Sofien Bouaziz
Leonidas Guibas
3DV
264
35
0
01 Jul 2019
Learning Manifold Patch-Based Representations of Man-Made Shapes
Learning Manifold Patch-Based Representations of Man-Made Shapes
Dmitriy Smirnov
Mikhail Bessmeltsev
Justin Solomon
SSL3DPC
152
19
0
28 Jun 2019
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