SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable
Rendering

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering

1 August 2021

Le Hui

Papers citing "SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering"

9 / 9 papers shown

Title
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
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 37 6 0 08 Mar 2024
TULIP: Transformer for Upsampling of LiDAR Point Clouds Bin Yang Patrick Pfreundschuh Roland Siegwart Marco Hutter Peyman Moghadam Vaishakh Patil 3DPC 26 6 0 11 Dec 2023
Arbitrary point cloud upsampling via Dual Back-Projection Network Zhisong Liu Zijia Wang Zhen Jia 3DPC 19 4 0 18 Jul 2023
IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression Kang-Soo You Pan Gao Q. Li 3DPC 21 20 0 04 Aug 2022
PU-Transformer: Point Cloud Upsampling Transformer Shi Qiu Saeed Anwar Nick Barnes 3DPC ViT 32 51 0 24 Nov 2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition Le Hui Mingmei Cheng Jin Xie Jian Yang 3DPC 249 71 0 07 Jan 2021
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow Tianwei Zhang Huayan Zhang Yong Li Yoshihiko Nakamura Lei Zhang 41 157 0 11 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 14,109 0 02 Dec 2016