Guardado en:
| Autores principales: | Chen, Jia-wei, Xiong, Yu-jie, Gao, Yong-bin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2406.06069 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
por: Qu, Kanglin, et al.
Publicado: (2025)
por: Qu, Kanglin, et al.
Publicado: (2025)
CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
por: Qu, Kanglin, et al.
Publicado: (2025)
por: Qu, Kanglin, et al.
Publicado: (2025)
PointMamba: A Simple State Space Model for Point Cloud Analysis
por: Liang, Dingkang, et al.
Publicado: (2024)
por: Liang, Dingkang, et al.
Publicado: (2024)
Point Cloud Mamba: Point Cloud Learning via State Space Model
por: Zhang, Tao, et al.
Publicado: (2024)
por: Zhang, Tao, et al.
Publicado: (2024)
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
por: Feng, Yu, et al.
Publicado: (2024)
por: Feng, Yu, et al.
Publicado: (2024)
Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy
por: Liu, Jiuming, et al.
Publicado: (2024)
por: Liu, Jiuming, et al.
Publicado: (2024)
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
por: Yang, Hao, et al.
Publicado: (2024)
por: Yang, Hao, et al.
Publicado: (2024)
Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction
por: Fogarty, Kyle, et al.
Publicado: (2025)
por: Fogarty, Kyle, et al.
Publicado: (2025)
Rethinking Attention Module Design for Point Cloud Analysis
por: Wu, Chengzhi, et al.
Publicado: (2024)
por: Wu, Chengzhi, et al.
Publicado: (2024)
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
por: Song, Jiayi, et al.
Publicado: (2024)
por: Song, Jiayi, et al.
Publicado: (2024)
Self-Supervised Point Cloud Completion based on Multi-View Augmentations of Single Partial Point Cloud
por: Lu, Jingjing, et al.
Publicado: (2025)
por: Lu, Jingjing, et al.
Publicado: (2025)
Localized Gaussians as Self-Attention Weights for Point Clouds Correspondence
por: Riva, Alessandro, et al.
Publicado: (2024)
por: Riva, Alessandro, et al.
Publicado: (2024)
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model
por: Li, Zhuoyuan, et al.
Publicado: (2024)
por: Li, Zhuoyuan, et al.
Publicado: (2024)
Hierarchical Feature Learning for Medical Point Clouds via State Space Model
por: Zhang, Guoqing, et al.
Publicado: (2025)
por: Zhang, Guoqing, et al.
Publicado: (2025)
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
por: Zhang, Yabin, et al.
Publicado: (2022)
por: Zhang, Yabin, et al.
Publicado: (2022)
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
por: Alonso, Pedro, et al.
Publicado: (2025)
por: Alonso, Pedro, et al.
Publicado: (2025)
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
por: He, Yong, et al.
Publicado: (2024)
por: He, Yong, et al.
Publicado: (2024)
Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass Quantification
por: Tu, Jinxiang, et al.
Publicado: (2025)
por: Tu, Jinxiang, et al.
Publicado: (2025)
Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
por: You, Kang, et al.
Publicado: (2024)
por: You, Kang, et al.
Publicado: (2024)
A Real-Time Multi-Model Parametric Representation of Point Clouds
por: Gao, Yuan, et al.
Publicado: (2025)
por: Gao, Yuan, et al.
Publicado: (2025)
PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining
por: Lin, Xuanyu, et al.
Publicado: (2025)
por: Lin, Xuanyu, et al.
Publicado: (2025)
Efficient Spiking Point Mamba for Point Cloud Analysis
por: Wu, Peixi, et al.
Publicado: (2025)
por: Wu, Peixi, et al.
Publicado: (2025)
On-the-fly Point Feature Representation for Point Clouds Analysis
por: Wang, Jiangyi, et al.
Publicado: (2024)
por: Wang, Jiangyi, et al.
Publicado: (2024)
Bidirectional Feature-aligned Motion Transformation for Efficient Dynamic Point Cloud Compression
por: Deng, Xuan, et al.
Publicado: (2025)
por: Deng, Xuan, et al.
Publicado: (2025)
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
por: Xu, Xinyu, et al.
Publicado: (2024)
por: Xu, Xinyu, et al.
Publicado: (2024)
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
por: Yu, Jinpeng, et al.
Publicado: (2024)
por: Yu, Jinpeng, et al.
Publicado: (2024)
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation
por: He, Yong, et al.
Publicado: (2025)
por: He, Yong, et al.
Publicado: (2025)
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration
por: Xiong, Kezheng, et al.
Publicado: (2023)
por: Xiong, Kezheng, et al.
Publicado: (2023)
Point2Vec for Self-Supervised Representation Learning on Point Clouds
por: Knaebel, Karim, et al.
Publicado: (2023)
por: Knaebel, Karim, et al.
Publicado: (2023)
PointSea: Point Cloud Completion via Self-structure Augmentation
por: Zhu, Zhe, et al.
Publicado: (2025)
por: Zhu, Zhe, et al.
Publicado: (2025)
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion
por: Li, Yixuan, et al.
Publicado: (2024)
por: Li, Yixuan, et al.
Publicado: (2024)
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation
por: Yu, Li, et al.
Publicado: (2024)
por: Yu, Li, et al.
Publicado: (2024)
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
por: Yu, Hai-Tao, et al.
Publicado: (2024)
por: Yu, Hai-Tao, et al.
Publicado: (2024)
Fully-Geometric Cross-Attention for Point Cloud Registration
por: Wang, Weijie, et al.
Publicado: (2025)
por: Wang, Weijie, et al.
Publicado: (2025)
HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation
por: Cheng, Wencan, et al.
Publicado: (2026)
por: Cheng, Wencan, et al.
Publicado: (2026)
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
por: Cuevas-Velasquez, Hanz, et al.
Publicado: (2021)
por: Cuevas-Velasquez, Hanz, et al.
Publicado: (2021)
Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning
por: Cao, Xin, et al.
Publicado: (2025)
por: Cao, Xin, et al.
Publicado: (2025)
SM3D: Mitigating Spectral Bias and Semantic Dilution in Point Cloud State Space Models
por: Liu, Bin, et al.
Publicado: (2025)
por: Liu, Bin, et al.
Publicado: (2025)
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
por: Li, Zihao, et al.
Publicado: (2024)
por: Li, Zihao, et al.
Publicado: (2024)
ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding
por: Peng, Qihang, et al.
Publicado: (2025)
por: Peng, Qihang, et al.
Publicado: (2025)
Ejemplares similares
-
HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
por: Qu, Kanglin, et al.
Publicado: (2025) -
CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
por: Qu, Kanglin, et al.
Publicado: (2025) -
PointMamba: A Simple State Space Model for Point Cloud Analysis
por: Liang, Dingkang, et al.
Publicado: (2024) -
Point Cloud Mamba: Point Cloud Learning via State Space Model
por: Zhang, Tao, et al.
Publicado: (2024) -
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
por: Feng, Yu, et al.
Publicado: (2024)