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point cloud upsampling
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
Point Cloud Upsampling as Statistical Shape Model for Pelvic
Efficient Point Clouds Upsampling via Flow Matching
Representation Learning of Point Cloud Upsampling in Global and Local Inputs
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling
Rethinking Data Input for Point Cloud Upsampling
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Arbitrary point cloud upsampling via Dual Back-Projection Network
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Parametric Surface Constrained Upsampler Network for Point Cloud
Lidar Upsampling with Sliced Wasserstein Distance
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Point Cloud Upsampling via Cascaded Refinement Network
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
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