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point cloud upsampling

Papers

Showing 1–50 of 62 papers

TitleStatusHype
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent LearningCode2
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
Arbitrary Point Cloud Upsampling with Spherical Mixture of GaussiansCode1
Efficient Point Clouds Upsampling via Flow MatchingCode1
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance FunctionsCode1
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNsCode1
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set ProjectionCode1
Meta-PU: An Arbitrary-Scale Upsampling Network for Point CloudCode1
Neural Points: Point Cloud Representation with Neural Fields for Arbitrary UpsamplingCode1
Parametric Surface Constrained Upsampler Network for Point CloudCode1
PC^2-PU: Patch Correlation and Point Correlation for Effective Point Cloud UpsamplingCode1
Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface ReconstructionCode1
Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise SuppressionCode1
Point Cloud Upsampling via Cascaded Refinement NetworkCode1
Point Cloud Upsampling via Disentangled RefinementCode1
PU-Flow: a Point Cloud Upsampling Network with Normalizing FlowsCode1
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud UpsamplingCode1
PU-Transformer: Point Cloud Upsampling TransformerCode1
RepKPU: Point Cloud Upsampling with Kernel Point Representation and DeformationCode1
Score-Based Point Cloud DenoisingCode1
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection OptimizationCode1
SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh DeformationCode1
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering—0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation—0
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization—0
Arbitrary point cloud upsampling via Dual Back-Projection Network—0
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks—0
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling—0
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera—0
Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds—0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds—0
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning—0
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support—0
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling—0
Lidar Upsampling with Sliced Wasserstein Distance—0
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery—0
Non-uniform Point Cloud Upsampling via Local Manifold Distribution—0
Representation Learning of Point Cloud Upsampling in Global and Local Inputs—0
ParaNet: Deep Regular Representation for 3D Point Clouds—0
Rethinking Data Input for Point Cloud Upsampling—0
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling—0
Point cloud completion via structured feature maps using a feedback network—0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Upsampling Autoencoder for Self-Supervised Point Cloud Learning—0
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling—0
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling—0
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling—0
TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards UpsamplingCode0
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