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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
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image—0
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations—0
SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems—0
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space—0
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders—0
Lidar Range Image Compression with Deep Delta Encoding—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Deep Point Cloud Reconstruction—0
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step—0
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications—0
Constrained Diffusion Implicit Models—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images—0
On Linear Structure From Motion for Light Field Cameras—0
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
StairNetV3: Depth-aware Stair Modeling using Deep Learning—0
StarNet: Style-Aware 3D Point Cloud Generation—0
Category-level Shape Estimation for Densely Cluttered Objects—0
Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface—0
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning—0
PSS-BA: LiDAR Bundle Adjustment with Progressive Spatial Smoothing—0
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model—0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features—0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery—0
Diffusion Models in 3D Vision: A Survey—0
Estimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
3D GANs and Latent Space: A comprehensive survey—0
DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
Differentiable Spline Approximations—0
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