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. 2304.11846
  4. Cited By
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 Functions

24 April 2023
Yun He
Danhang Tang
Yinda Zhang
Xiangyang Xue
Yanwei Fu
    3DPC
ArXivPDFHTML

Papers citing "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions"

30 / 30 papers shown
Title
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Yaohui Fang
Xingce Wang
3DPC
67
0
0
16 Apr 2025
Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes
Donghyun Kim
Hyunah Ko
Chanyoung Kim
Seong Jae Hwang
3DPC
57
0
0
13 Mar 2025
3D Point Cloud Generation via Autoregressive Up-sampling
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
3DPC
61
0
0
11 Mar 2025
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution
Chendong Wang
Anlan Zhang
Yifan Yang
Lili Qiu
Yue Yang
Xinyang Jiang
Feng Qian
Suman Banerjee
72
1
0
17 Feb 2025
Efficient Point Clouds Upsampling via Flow Matching
Zheng Liu
Chenhang He
Lei Li
55
1
0
28 Jan 2025
Point Cloud Resampling with Learnable Heat Diffusion
Point Cloud Resampling with Learnable Heat Diffusion
Wenqiang Xu
Wenrui Dai
Duoduo Xue
Ziyang Zheng
Chenglin Li
Junni Zou
Hongkai Xiong
79
0
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 Upsampling
Donghyun Kim
H. Kwon
Yumin Kim
Seong Jae Hwang
3DPC
55
1
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
52
3
0
30 Oct 2024
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Kai Liu
Kang-Soo You
Pan Gao
M. Paul
3DPC
33
0
0
23 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
40
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
28
1
0
21 Oct 2024
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color
  Point Clouds via 3D Gaussian Splatting
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting
Zixuan Guo
Yifan Xie
Weijing Xie
Peng Huang
Fei Ma
Fei Richard Yu
3DGS
3DPC
42
1
0
03 Sep 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
34
1
0
06 Aug 2024
Rethinking Data Input for Point Cloud Upsampling
Rethinking Data Input for Point Cloud Upsampling
Tongxu Zhang
3DPC
49
1
0
05 Jul 2024
Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous
  Driving
Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving
Ce Zhang
A. Eskandarian
44
0
0
25 Jun 2024
SAGS: Structure-Aware 3D Gaussian Splatting
SAGS: Structure-Aware 3D Gaussian Splatting
Evangelos Ververas
Rolandos Alexandros Potamias
Jifei Song
Jiankang Deng
S. Zafeiriou
3DGS
32
10
0
29 Apr 2024
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
Q. Hu
Zhimin Zhang
Wei Hu
DiffM
33
12
0
15 Mar 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 Learning
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
40
6
0
08 Mar 2024
CRA-PCN: Point Cloud Completion with Intra- and Inter-level
  Cross-Resolution Transformers
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
Yi Rong
Haoran Zhou
Lixin Yuan
Cheng Mei
Jiahao Wang
Tong Lu
34
6
0
03 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
34
22
0
23 Dec 2023
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud
  Upsampling
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
Wentao Qu
Yuantian Shao
Lingwu Meng
Xiaoshui Huang
Liang Xiao
32
10
0
03 Dec 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud
  Generation
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
Chenliang Zhou
Fangcheng Zhong
Param Hanji
Zhilin Guo
Kyle Fogarty
Alejandro Sztrajman
Hongyun Gao
Cengiz Öztireli
21
3
0
20 Nov 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
31
3
0
12 Oct 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A
  Survey
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
Qinfeng Zhu
Lei Fan
Ningxin Weng
3DPC
38
34
0
23 Aug 2023
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
3DPC
131
111
0
27 May 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
73
23
0
20 Sep 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
240
558
0
19 Mar 2020
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
14,131
0
02 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
333
36,420
0
25 Aug 2016
1