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Point cloud reconstruction

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Papers

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Showing 51–100 of 101 papers

TitleStatusHype
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesCode0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
PSS-BA: LiDAR Bundle Adjustment with Progressive Spatial Smoothing—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
Headset: Human emotion awareness under partial occlusions multimodal dataset—0
Learnable Chamfer Distance for Point Cloud ReconstructionCode0
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric ModelCode0
Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface—0
Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images—0
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation—0
StairNetV3: Depth-aware Stair Modeling using Deep Learning—0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud ReconstructionCode0
3D GANs and Latent Space: A comprehensive survey—0
StarNet: Style-Aware 3D Point Cloud Generation—0
Category-level Shape Estimation for Densely Cluttered Objects—0
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionCode0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery—0
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space—0
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsCode0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations—0
PU-MFA : Point Cloud Up-sampling via Multi-scale Features AttentionCode0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning—0
Deep Point Cloud Reconstruction—0
Differentiable Spline Approximations—0
Lidar Range Image Compression with Deep Delta Encoding—0
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy DiscrepancyCode0
Set Prediction without Imposing Structure as Conditional Density EstimationCode0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Silhouette Guided Point Cloud Reconstruction beyond OcclusionCode0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D SupervisionCode0
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single ImageCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
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