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

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

11 / 11 papers shown

Title
Efficient Point Clouds Upsampling via Flow Matching Z. Liu Chenhang He Lei Li 40 1 0 28 Jan 2025
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 18 1 0 21 Oct 2024
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 33 1 0 03 Sep 2024
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement Hao Xu Xi Zhang Xiaolin Wu 3DPC 19 1 0 06 Aug 2024
Rethinking Data Input for Point Cloud Upsampling Tongxu Zhang 3DPC 39 1 0 05 Jul 2024
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan S. Kankanhalli 3DPC 119 109 0 27 May 2022
PC $^2$ -PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling Chen Long Wenxiao Zhang Ruihui Li Hao Wang Zhen Dong Bisheng Yang 3DPC 54 22 0 20 Sep 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 138 282 0 04 May 2021
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 214 558 0 19 Mar 2020
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 14,047 0 02 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016