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Neural Points: Point Cloud Representation with Neural Fields for
  Arbitrary Upsampling
v1v2v3 (latest)

Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

8 December 2021
Wanquan Feng
Jin Li
Hongrui Cai
Xiaonan Luo
Juyong Zhang
    3DPC
ArXiv (abs)PDFHTMLGithub (232★)

Papers citing "Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling"

42 / 42 papers shown
Title
Efficient Conditional Generation on Scale-based Visual Autoregressive Models
Efficient Conditional Generation on Scale-based Visual Autoregressive Models
Jiaqi Liu
Tao Huang
Chang Xu
DiffM
151
0
0
07 Oct 2025
PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation
PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation
Mahmoud Khater
Mona Strauss
Philipp von Olshausen
Alexander Reiterer
3DPC
65
0
0
24 Sep 2025
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
Kaiyue Zhou
Zelong Tan
Hongxiao Wang
Ya-li Li
Shengjin Wang
3DPC
145
0
0
25 Jul 2025
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Zhengyun Cheng
Ruizhe Zhang
Guanwen Zhang
Y. F. Xu
Xiangyang Ji
Wei Zhou
111
0
0
27 Jun 2025
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Non-uniform Point Cloud Upsampling via Local Manifold DistributionProceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2025
Yaohui Fang
Xingce Wang
3DPC
130
0
0
16 Apr 2025
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey
Liewen Liao
Weihao Yan
Ming Yang
Songan Zhang
Songan Zhang
H. Eric Tseng
3DV
515
3
0
17 Mar 2025
Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes
Donghyun Kim
Hyunah Ko
Chanyoung Kim
Seong Jae Hwang
3DPC
199
6
0
13 Mar 2025
PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
Irwin King
Peilin Zhao
3DPC
270
2
0
11 Mar 2025
Efficient Point Clouds Upsampling via Flow Matching
Zheng Liu
Chenhang He
Lei Li
211
2
0
28 Jan 2025
Point Cloud Resampling with Learnable Heat Diffusion
Point Cloud Resampling with Learnable Heat DiffusionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Wenqiang Xu
Wenrui Dai
Duoduo Xue
Ziyang Zheng
Chenglin Li
Junni Zou
Hongkai Xiong
196
2
0
21 Nov 2024
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point
  Cloud Upsampling
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud UpsamplingAAAI Conference on Artificial Intelligence (AAAI), 2024
Donghyun Kim
H. Kwon
Yumin Kim
Seong Jae Hwang
3DPC
154
3
0
01 Nov 2024
Deep Learning for 3D Point Cloud Enhancement: A Survey
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan
Junhao Yu
Ziming Nie
Muze Wang
Sijia Feng
Pei An
Jiaqi Yang
3DPC
177
4
0
30 Oct 2024
ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior
  Embedding for Patient-specific Imaging Study
ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study
Liang Qiu
Liyue Shen
Lianli Liu
Junyan Liu
Yizheng Chen
Lei Xing
164
2
0
25 Oct 2024
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Jihe Li
Bo Pang
Peng-Shuai Wang
3DPC
209
1
0
22 Oct 2024
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with
  Fast Point Rendering
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song
Weidong Yang
Zhijun Li
Wen-Ming Chen
Ben Fei
3DPC
158
1
0
21 Oct 2024
Learning Local Pattern Modularization for Point Cloud Reconstruction
  from Unseen Classes
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesEuropean Conference on Computer Vision (ECCV), 2024
Chao Chen
Yu-Shen Liu
Zhizhong Han
3DPC
172
4
0
26 Aug 2024
Atlas Gaussians Diffusion for 3D Generation
Atlas Gaussians Diffusion for 3D GenerationInternational Conference on Learning Representations (ICLR), 2024
Haitao Yang
Yuan Dong
Hanwen Jiang
Dejia Xu
Georgios Pavlakos
Qixing Huang
3DGS
515
8
0
23 Aug 2024
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based RefinementEuropean Conference on Computer Vision (ECCV), 2024
Hao Xu
Xi Zhang
Xiaolin Wu
3DPC
277
5
0
06 Aug 2024
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
265
18
0
04 Jul 2024
Consistent Point Orientation for Manifold Surfaces via Boundary
  Integration
Consistent Point Orientation for Manifold Surfaces via Boundary Integration
Weizhou Liu
Xingce Wang
Haichuan Zhao
Xingfei Xue
Zhongke Wu
Xuequan Lu
Ying He
286
10
0
03 Jul 2024
Lightweight Predictive 3D Gaussian Splats
Lightweight Predictive 3D Gaussian Splats
Junli Cao
Sergei Korolev
Chaoyang Wang
Vidit Goel
Ju Hu
Sergei Korolev
Chenfanfu Jiang
Sergey Tulyakov
Jian Ren
3DGS
138
4
0
27 Jun 2024
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with
  Latent Geometric-Consistent Learning
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
141
9
0
08 Mar 2024
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation
  for Achieving Global Map Consistency
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map ConsistencyIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Yue Pan
Xingguang Zhong
Louis Wiesmann
Thorbjörn Posewsky
Jens Behley
C. Stachniss
3DPC3DV
312
70
0
17 Jan 2024
Learning Continuous Implicit Field with Local Distance Indicator for
  Arbitrary-Scale Point Cloud Upsampling
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
Shujuan Li
Junsheng Zhou
Baorui Ma
Yu-Shen Liu
Zhizhong Han
188
33
0
23 Dec 2023
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud
  Upsampling
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingComputer Vision and Pattern Recognition (CVPR), 2023
Wentao Qu
Yuantian Shao
Lingwu Meng
Xiaoshui Huang
Liang Xiao
141
24
0
03 Dec 2023
$L_0$-Sampler: An $L_{0}$ Model Guided Volume Sampling for NeRF
L0L_0L0​-Sampler: An L0L_{0}L0​ Model Guided Volume Sampling for NeRFComputer Vision and Pattern Recognition (CVPR), 2023
Liangchen Li
Juyong Zhang
160
4
0
13 Nov 2023
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
Guangshun Wei
Hao Pan
Shaojie Zhuang
Yuanfeng Zhou
Changjian Li
3DPC
151
10
0
13 Oct 2023
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on
  Neural Implicit Surface
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
Sangwon Lim
Karim El-Basyouny
Yee-Hong Yang
3DPC
198
7
0
12 Oct 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 MappingInternational Conference on Machine Learning (ICML), 2023
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
207
33
0
02 Jun 2023
Pointersect: Neural Rendering with Cloud-Ray Intersection
Pointersect: Neural Rendering with Cloud-Ray IntersectionComputer Vision and Pattern Recognition (CVPR), 2023
Jen-Hao Rick Chang
Wei-Yu Chen
Anurag Ranjan
K. M. Yi
Oncel Tuzel
3DPC
159
26
0
24 Apr 2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent
  with Learned Distance Functions
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance FunctionsComputer Vision and Pattern Recognition (CVPR), 2023
Yun He
Danhang Tang
Yinda Zhang
Xiangyang Xue
Yanwei Fu
3DPC
161
78
0
24 Apr 2023
SDFReg: Learning Signed Distance Functions for Point Cloud Registration
SDFReg: Learning Signed Distance Functions for Point Cloud RegistrationChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Leida Zhang
Zhengda Lu
Lei Feng
Yiqun Wang
3DPC
221
1
0
18 Apr 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 PriorsComputer Vision and Pattern Recognition (CVPR), 2023
Chao Chen
Yu-Shen Liu
Zhizhong Han
3DPC
272
31
0
25 Mar 2023
Neural Point Catacaustics for Novel-View Synthesis of Reflections
Neural Point Catacaustics for Novel-View Synthesis of ReflectionsACM Transactions on Graphics (TOG), 2022
Georgios Kopanas
Thomas Leimkuhler
G. Rainer
Clément Jambon
G. Drettakis
278
103
0
03 Jan 2023
Low-Rank Tensor Function Representation for Multi-Dimensional Data
  Recovery
Low-Rank Tensor Function Representation for Multi-Dimensional Data RecoveryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yisi Luo
Xile Zhao
Zhemin Li
Michael K. Ng
Deyu Meng
177
66
0
01 Dec 2022
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided
  Distance Representation
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance RepresentationIEEE International Conference on Computer Vision (ICCV), 2022
Siyu Ren
Xianqiang Lyu
Xiaodong Chen
Ying He
Wenping Wang
236
43
0
30 Nov 2022
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
Lingdong Wang
Mohammad Hajiesmaili
Jacob Chakareski
R. Sitaraman
3DPC
121
4
0
12 Sep 2022
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
Arbitrary Point Cloud Upsampling with Spherical Mixture of GaussiansInternational Conference on 3D Vision (3DV), 2022
Anthony DellÉva
M. Orsingher
Massimo Bertozzi
3DPC
96
11
0
10 Aug 2022
Latent Partition Implicit with Surface Codes for 3D Representation
Latent Partition Implicit with Surface Codes for 3D RepresentationEuropean Conference on Computer Vision (ECCV), 2022
Chao Chen
Yu-Shen Liu
Zhihong Han
171
33
0
18 Jul 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point CloudsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
176
64
0
09 Jun 2022
PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point
  Cloud Upsampling
PC2^22-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Chen Long
Wenxiao Zhang
Ruihui Li
Hao Wang
Zhen Dong
Bisheng Yang
3DPC
162
31
0
20 Sep 2021
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and CompletionComputer Vision and Pattern Recognition (CVPR), 2020
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
369
539
0
03 Mar 2020
1