Cover Image

Deep Learning for 3D Point Cloud Enhancement: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Quan, Siwen, Yu, Junhao, Nie, Ziming, Wang, Muze, Feng, Sijia, An, Pei, Yang, Jiaqi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
by: Nie, Ziming, et al.
Published: (2025)

A Survey of Label-Efficient Deep Learning for 3D Point Clouds
by: Xiao, Aoran, et al.
Published: (2023)

Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement
by: Duan, Zaipeng, et al.
Published: (2025)

Deep Learning For Point Cloud Denoising: A Survey
by: Zhang, Chengwei, et al.
Published: (2025)

3D Single-object Tracking in Point Clouds with High Temporal Variation
by: Wu, Qiao, et al.
Published: (2024)

Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy
by: Zhang, Yu-Xin, et al.
Published: (2024)

Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
by: Sohail, Shahab Saquib, et al.
Published: (2024)

A Survey of Deep Learning-based Point Cloud Denoising
by: Wang, Jinxi, et al.
Published: (2025)

Robust 3D Point Clouds Classification based on Declarative Defenders
by: Li, Kaidong, et al.
Published: (2024)

mmDEAR: mmWave Point Cloud Density Enhancement for Accurate Human Body Reconstruction
by: Yang, Jiarui, et al.
Published: (2025)

Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
by: Zhu, Qinfeng, et al.
Published: (2023)

Unlocking Generalization Power in LiDAR Point Cloud Registration
by: Zeng, Zhenxuan, et al.
Published: (2025)

Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
by: He, Pei, et al.
Published: (2025)

Hard-Label Black-Box Attacks on 3D Point Clouds
by: Liu, Daizong, et al.
Published: (2024)

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation
by: Li, Yuqi, et al.
Published: (2025)

Equivariant Flow Matching for Point Cloud Assembly
by: Wang, Ziming, et al.
Published: (2025)

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences
by: Yu, Rui, et al.
Published: (2024)

Deep Learning Technology for Face Forgery Detection: A Survey
by: Ma, Lixia, et al.
Published: (2024)

Foundational Models for 3D Point Clouds: A Survey and Outlook
by: Thengane, Vishal, et al.
Published: (2025)

PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
by: Chen, Yang, et al.
Published: (2025)

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
by: Sun, Hongyu, et al.
Published: (2024)

Hg-I2P: Bridging Modalities for Generalizable Image-to-Point-Cloud Registration via Heterogeneous Graphs
by: An, Pei, et al.
Published: (2026)

VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking
by: Lu, Yuxuan, et al.
Published: (2024)

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
by: Wang, Xingmei, et al.
Published: (2025)

Towards Category Unification of 3D Single Object Tracking on Point Clouds
by: Nie, Jiahao, et al.
Published: (2024)

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
by: Zhang, Tunhou, et al.
Published: (2022)

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
by: Wang, Jiaxu, et al.
Published: (2024)

Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation
by: Xu, Yifan, et al.
Published: (2024)

Deep Learning Based 3D Segmentation: A Survey
by: He, Yong, et al.
Published: (2021)

PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds
by: Qifeng, Liu, et al.
Published: (2025)

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning
by: Cong, Xiaofeng, et al.
Published: (2024)

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning
by: Wang, Chuxin, et al.
Published: (2025)

PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation
by: Zhang, Jie, et al.
Published: (2023)

TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
by: Wang, Mengmeng, et al.
Published: (2025)

FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking
by: Zhou, Sifan, et al.
Published: (2026)

T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
by: Yang, Zhiyuan, et al.
Published: (2024)

PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
by: Xu, Weisheng, et al.
Published: (2024)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
by: Chen, Meida, et al.
Published: (2022)

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness
by: Feng, Yu, et al.
Published: (2025)

Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
by: Sun, Tianyu, et al.
Published: (2024)