:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Chao, Liu, Yu-Shen, Han, Zhizhong
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2408.14279
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
por: Chen, Chao, et al.
Publicado: (2024)

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
por: Noda, Takeshi, et al.
Publicado: (2025)

Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
por: Zhou, Junsheng, et al.
Publicado: (2024)

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation
por: Li, Qing, et al.
Publicado: (2023)

CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
por: Zhou, Junsheng, et al.
Publicado: (2022)

Sharpening Neural Implicit Functions with Frequency Consolidation Priors
por: Chen, Chao, et al.
Publicado: (2024)

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
por: Zhou, Junsheng, et al.
Publicado: (2024)

3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
por: Noda, Takeshi, et al.
Publicado: (2026)

U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
por: Zhou, Junsheng, et al.
Publicado: (2025)

PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation
por: Li, Qing, et al.
Publicado: (2025)

SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
por: Han, Liang, et al.
Publicado: (2025)

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
por: Han, Jiawei, et al.
Publicado: (2024)

Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
por: Zhang, Wenyuan, et al.
Publicado: (2024)

GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
por: Li, Shujuan, et al.
Publicado: (2025)

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
por: Noda, Takeshi, et al.
Publicado: (2024)

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
por: Yang, Hao, et al.
Publicado: (2025)

MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
por: Zhang, Wenyuan, et al.
Publicado: (2025)

PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud
por: Yu, Qiao, et al.
Publicado: (2024)

Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
por: Liu, Jiaqi, et al.
Publicado: (2026)

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
por: Zhang, Wenyuan, et al.
Publicado: (2025)

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
por: Han, Liang, et al.
Publicado: (2024)

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
por: Chen, Yujun, et al.
Publicado: (2023)

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2025)

VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
por: Zhang, Wenyuan, et al.
Publicado: (2024)

UOD: Unseen Object Detection in 3D Point Cloud
por: Choi, Hyunjun, et al.
Publicado: (2024)

LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
por: Zhang, Zhenrong, et al.
Publicado: (2023)

REPS: Reconstruction-based Point Cloud Sampling
por: Zhang, Guoqing, et al.
Publicado: (2024)

Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
por: Qi, Chao, et al.
Publicado: (2025)

Incremental Multiview Point Cloud Registration
por: Cheng, Xiaoya, et al.
Publicado: (2024)

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
por: Li, Yang, et al.
Publicado: (2025)

Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning
por: Chen, Zhongyu, et al.
Publicado: (2025)

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors
por: Tang, Jimin, et al.
Publicado: (2026)

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
por: Hu, Pengchong, et al.
Publicado: (2023)

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
por: Li, Shengtao, et al.
Publicado: (2024)

Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
por: Tian, Shengjing, et al.
Publicado: (2022)

PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
por: Zhang, Zhang, et al.
Publicado: (2025)

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
por: Zhang, Hao, et al.
Publicado: (2023)

Pipe Reconstruction from Point Cloud Data
por: Alex, Antje, et al.
Publicado: (2025)

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
por: Li, Mengtian, et al.
Publicado: (2024)

Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning
por: Cao, Xin, et al.
Publicado: (2025)