Copertina

Efficient 3D Instance Mapping and Localization with Neural Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tang, George, Jatavallabhula, Krishna Murthy, Torralba, Antonio
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
di: Keetha, Nikhil, et al.
Pubblicazione: (2023)

Follow Anything: Open-set detection, tracking, and following in real-time
di: Maalouf, Alaa, et al.
Pubblicazione: (2023)

Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM
di: Nanwani, Laksh, et al.
Pubblicazione: (2024)

MultiModal Action Conditioned Video Generation
di: Li, Yichen, et al.
Pubblicazione: (2025)

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
di: Duggal, Shivam, et al.
Pubblicazione: (2025)

Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
di: Sárándi, István, et al.
Pubblicazione: (2024)

Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
di: Gao, Zihan, et al.
Pubblicazione: (2024)

NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
di: Tang, Zhenyu, et al.
Pubblicazione: (2025)

LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment
di: Zhu, Juelin, et al.
Pubblicazione: (2024)

Vector Quantized Feature Fields for Fast 3D Semantic Lifting
di: Tang, George, et al.
Pubblicazione: (2025)

LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation
di: Yao, Lei, et al.
Pubblicazione: (2026)

Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
di: Wu, Yizheng, et al.
Pubblicazione: (2024)

Instance by Instance: An Iterative Framework for Multi-instance 3D Registration
di: Cao, Xinyue, et al.
Pubblicazione: (2024)

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
di: Cheng, Tianhang, et al.
Pubblicazione: (2024)

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation
di: Shi, Cheng, et al.
Pubblicazione: (2024)

Dataset Distillation for Pre-Trained Self-Supervised Vision Models
di: Cazenavette, George, et al.
Pubblicazione: (2025)

SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
di: Mihajlovic, Marko, et al.
Pubblicazione: (2024)

IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping
di: Xiao, Tingyang, et al.
Pubblicazione: (2026)

LISNeRF Mapping: LiDAR-based Implicit Mapping via Semantic Neural Fields for Large-Scale 3D Scenes
di: Zhang, Jianyuan, et al.
Pubblicazione: (2023)

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
di: Tang, Zichen, et al.
Pubblicazione: (2024)

Efficient Multimodal 3D Object Detector via Instance-Level Contrastive Distillation
di: Su, Zhuoqun, et al.
Pubblicazione: (2025)

InstanceBEV: Unifying Instance and BEV Representation for 3D Panoptic Segmentation
di: Li, Feng, et al.
Pubblicazione: (2025)

PickScan: Object discovery and reconstruction from handheld interactions
di: van der Brugge, Vincent, et al.
Pubblicazione: (2024)

2D Instance Editing in 3D Space
di: Xie, Yuhuan, et al.
Pubblicazione: (2025)

Geometry-Aware Instance Segmentation with Disparity Maps
di: Wu, Cho-Ying, et al.
Pubblicazione: (2020)

Creating Seamless 3D Maps Using Radiance Fields
di: Sathyan, Sai Tarun, et al.
Pubblicazione: (2024)

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
di: Ling, Huan, et al.
Pubblicazione: (2023)

SAI3D: Segment Any Instance in 3D Scenes
di: Yin, Yingda, et al.
Pubblicazione: (2023)

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception
di: Li, Haijie, et al.
Pubblicazione: (2024)

OVI-MAP:Open-Vocabulary Instance-Semantic Mapping
di: Deng, Zilong, et al.
Pubblicazione: (2026)

CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
di: Thengane, Vishal, et al.
Pubblicazione: (2025)

Consistent Instance Field for Dynamic Scene Understanding
di: Wu, Junyi, et al.
Pubblicazione: (2025)

Locally Adaptive Neural 3D Morphable Models
di: Tarasiou, Michail, et al.
Pubblicazione: (2024)

Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation
di: Finocchiaro, Antonio, et al.
Pubblicazione: (2025)

3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding
di: Xia, Zhongyu, et al.
Pubblicazione: (2026)

CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
di: Sick, Leon, et al.
Pubblicazione: (2024)

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
di: Rozenberszki, David, et al.
Pubblicazione: (2023)

Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
di: Park, Minseong, et al.
Pubblicazione: (2024)

SA3DIP: Segment Any 3D Instance with Potential 3D Priors
di: Yang, Xi, et al.
Pubblicazione: (2024)

OV-MAP : Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots
di: Kim, Juno, et al.
Pubblicazione: (2025)