Copertina

DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cao, Helin, Behnke, Sven
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net
di: Cao, Helin, et al.
Pubblicazione: (2024)

OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness
di: Cao, Helin, et al.
Pubblicazione: (2025)

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving
di: Cao, Helin, et al.
Pubblicazione: (2025)

LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
di: Nakashima, Kazuto, et al.
Pubblicazione: (2023)

Towards Realistic Scene Generation with LiDAR Diffusion Models
di: Ran, Haoxi, et al.
Pubblicazione: (2024)

Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
di: Afifi, Mohamed, et al.
Pubblicazione: (2024)

LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps
di: Quenzel, Jan, et al.
Pubblicazione: (2024)

DepthVision: Enabling Robust Vision-Language Models with GAN-Based LiDAR-to-RGB Synthesis for Autonomous Driving
di: Kirchner, Sven, et al.
Pubblicazione: (2025)

LiDAR Point Cloud Image-based Generation Using Denoising Diffusion Probabilistic Models
di: Aghanouri, Amirhesam, et al.
Pubblicazione: (2025)

LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps
di: Wang, Yihao, et al.
Pubblicazione: (2025)

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR
di: Li, Li
Pubblicazione: (2024)

Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
di: Seliunina, Svetlana, et al.
Pubblicazione: (2024)

Environment-Driven Online LiDAR-Camera Extrinsic Calibration
di: Huang, Zhiwei, et al.
Pubblicazione: (2025)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
di: Ho, Shing-Hei, et al.
Pubblicazione: (2024)

LiDAR-based 3D Change Detection at City Scale
di: Albagami, Hezam, et al.
Pubblicazione: (2025)

Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion
di: Goo, June Moh, et al.
Pubblicazione: (2025)

TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
di: Sun, Leyuan, et al.
Pubblicazione: (2023)

Spb3DTracker: A Robust LiDAR-Based Person Tracker for Noisy Environment
di: Im, Eunsoo, et al.
Pubblicazione: (2024)

Complete Gaussian Splats from a Single Image with Denoising Diffusion Models
di: Liao, Ziwei, et al.
Pubblicazione: (2025)

DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
di: Natan, Oskar, et al.
Pubblicazione: (2023)

Online,Target-Free LiDAR-Camera Extrinsic Calibration via Cross-Modal Mask Matching
di: Huang, Zhiwei, et al.
Pubblicazione: (2024)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
di: Abdelsamad, Mohamed, et al.
Pubblicazione: (2025)

Fast LiDAR Upsampling using Conditional Diffusion Models
di: Helgesen, Sander Elias Magnussen, et al.
Pubblicazione: (2024)

Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps
di: Jang, Jiyun, et al.
Pubblicazione: (2024)

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction
di: Halinkovic, Matej, et al.
Pubblicazione: (2026)

EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition
di: Serio, Pierpaolo, et al.
Pubblicazione: (2026)

Fast and Robust Normal Estimation for Sparse LiDAR Scans
di: Bogoslavskyi, Igor, et al.
Pubblicazione: (2024)

An Efficient LiDAR-Camera Fusion Network for Multi-Class 3D Dynamic Object Detection and Trajectory Prediction
di: He, Yushen, et al.
Pubblicazione: (2025)

SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis
di: Chen, Yi, et al.
Pubblicazione: (2025)

SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment
di: Ji, Xingyu, et al.
Pubblicazione: (2024)

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
di: Yang, Zhenwei, et al.
Pubblicazione: (2024)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
di: Mohan, Rohit, et al.
Pubblicazione: (2025)

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
di: Wozniak, Maciej K, et al.
Pubblicazione: (2024)

Gaussian Semantic Field for One-shot LiDAR Global Localization
di: Yin, Pengyu, et al.
Pubblicazione: (2025)

LiDAR-based 4D Occupancy Completion and Forecasting
di: Liu, Xinhao, et al.
Pubblicazione: (2023)

Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception
di: Xu, Xiaohao, et al.
Pubblicazione: (2024)

Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning
di: Vilella-Cantos, Judith, et al.
Pubblicazione: (2026)

LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications
di: Balemans, Niels, et al.
Pubblicazione: (2025)

Detection and Tracking of MAVs Using a Rosette Scanning Pattern LiDAR
di: Gazdag, Sándor, et al.
Pubblicazione: (2024)

LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
di: Ma, Yukai, et al.
Pubblicazione: (2024)