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point cloud upsampling

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Showing 26–50 of 62 papers

TitleStatusHype
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery NetworkCode0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Representation Learning of Point Cloud Upsampling in Global and Local Inputs—0
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera—0
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling—0
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering—0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
Rethinking Data Input for Point Cloud Upsampling—0
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling—0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation—0
iPUNet:Iterative Cross Field Guided Point Cloud UpsamplingCode0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards UpsamplingCode0
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning—0
Arbitrary point cloud upsampling via Dual Back-Projection Network—0
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks—0
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud UpsamplingCode0
Lidar Upsampling with Sliced Wasserstein Distance—0
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support—0
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery—0
CU-Net: Real-Time High-Fidelity Color Upsampling for Point CloudsCode0
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling—0
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling—0
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling—0
Upsampling Autoencoder for Self-Supervised Point Cloud Learning—0
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