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

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
ArXivPDFHTML

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

12 / 12 papers shown
Title
Efficient Point Clouds Upsampling via Flow Matching
Z. Liu
Chenhang He
Lei Li
42
1
0
28 Jan 2025
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
23
1
0
21 Oct 2024
Atlas Gaussians Diffusion for 3D Generation
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang
Yuan Dong
Hanwen Jiang
Dejia Xu
Georgios Pavlakos
Qixing Huang
3DGS
69
3
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 Refinement
Hao Xu
Xi Zhang
Xiaolin Wu
3DPC
26
1
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
44
9
0
04 Jul 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 Consistency
Yue Pan
Xingguang Zhong
Louis Wiesmann
Thorbjörn Posewsky
Jens Behley
C. Stachniss
3DPC
3DV
39
33
0
17 Jan 2024
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
21
5
0
13 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 Mapping
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
26
23
0
02 Jun 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
27
28
0
25 Mar 2023
Neural Point Catacaustics for Novel-View Synthesis of Reflections
Neural Point Catacaustics for Novel-View Synthesis of Reflections
Georgios Kopanas
Thomas Leimkuhler
G. Rainer
Clément Jambon
G. Drettakis
17
83
0
03 Jan 2023
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
21
38
0
09 Jun 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
1