Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Chao, Liu, Yu-Shen, Han, Zhizhong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
by: Chen, Chao, et al.
Published: (2024)
by: Chen, Chao, et al.
Published: (2024)
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
by: Noda, Takeshi, et al.
Published: (2025)
by: Noda, Takeshi, et al.
Published: (2025)
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
by: Zhou, Junsheng, et al.
Published: (2024)
by: Zhou, Junsheng, et al.
Published: (2024)
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation
by: Li, Qing, et al.
Published: (2023)
by: Li, Qing, et al.
Published: (2023)
CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
by: Zhou, Junsheng, et al.
Published: (2022)
by: Zhou, Junsheng, et al.
Published: (2022)
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
by: Zhou, Junsheng, et al.
Published: (2024)
by: Zhou, Junsheng, et al.
Published: (2024)
Sharpening Neural Implicit Functions with Frequency Consolidation Priors
by: Chen, Chao, et al.
Published: (2024)
by: Chen, Chao, et al.
Published: (2024)
3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
by: Noda, Takeshi, et al.
Published: (2026)
by: Noda, Takeshi, et al.
Published: (2026)
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
by: Zhou, Junsheng, et al.
Published: (2025)
by: Zhou, Junsheng, et al.
Published: (2025)
PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
by: Han, Jiawei, et al.
Published: (2024)
by: Han, Jiawei, et al.
Published: (2024)
SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
by: Han, Liang, et al.
Published: (2025)
by: Han, Liang, et al.
Published: (2025)
PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud
by: Yu, Qiao, et al.
Published: (2024)
by: Yu, Qiao, et al.
Published: (2024)
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
by: Zhang, Wenyuan, et al.
Published: (2024)
by: Zhang, Wenyuan, et al.
Published: (2024)
GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
by: Li, Shujuan, et al.
Published: (2025)
by: Li, Shujuan, et al.
Published: (2025)
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
by: Cheng, Yuqi, et al.
Published: (2025)
by: Cheng, Yuqi, et al.
Published: (2025)
Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
by: Liu, Jiaqi, et al.
Published: (2026)
by: Liu, Jiaqi, et al.
Published: (2026)
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
by: Noda, Takeshi, et al.
Published: (2024)
by: Noda, Takeshi, et al.
Published: (2024)
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
by: Zhang, Wenyuan, et al.
Published: (2025)
by: Zhang, Wenyuan, et al.
Published: (2025)
REPS: Reconstruction-based Point Cloud Sampling
by: Zhang, Guoqing, et al.
Published: (2024)
by: Zhang, Guoqing, et al.
Published: (2024)
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
by: Chen, Yujun, et al.
Published: (2023)
by: Chen, Yujun, et al.
Published: (2023)
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
by: Zhang, Wenyuan, et al.
Published: (2025)
by: Zhang, Wenyuan, et al.
Published: (2025)
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
by: Qi, Chao, et al.
Published: (2025)
by: Qi, Chao, et al.
Published: (2025)
UOD: Unseen Object Detection in 3D Point Cloud
by: Choi, Hyunjun, et al.
Published: (2024)
by: Choi, Hyunjun, et al.
Published: (2024)
Incremental Multiview Point Cloud Registration
by: Cheng, Xiaoya, et al.
Published: (2024)
by: Cheng, Xiaoya, et al.
Published: (2024)
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
by: Han, Liang, et al.
Published: (2024)
by: Han, Liang, et al.
Published: (2024)
Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning
by: Chen, Zhongyu, et al.
Published: (2025)
by: Chen, Zhongyu, et al.
Published: (2025)
VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
by: Zhang, Wenyuan, et al.
Published: (2024)
by: Zhang, Wenyuan, et al.
Published: (2024)
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
by: Zhang, Zhenrong, et al.
Published: (2023)
by: Zhang, Zhenrong, et al.
Published: (2023)
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
by: Li, Shengtao, et al.
Published: (2024)
by: Li, Shengtao, et al.
Published: (2024)
Pipe Reconstruction from Point Cloud Data
by: Alex, Antje, et al.
Published: (2025)
by: Alex, Antje, et al.
Published: (2025)
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
by: Tian, Shengjing, et al.
Published: (2022)
by: Tian, Shengjing, et al.
Published: (2022)
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
by: Zhang, Zhang, et al.
Published: (2025)
by: Zhang, Zhang, et al.
Published: (2025)
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
by: Liu, Yujia, et al.
Published: (2024)
by: Liu, Yujia, et al.
Published: (2024)
Accurate and Efficient Surface Reconstruction from Point Clouds via Geometry-Aware Local Adaptation
by: Ogawa, Eito, et al.
Published: (2025)
by: Ogawa, Eito, et al.
Published: (2025)
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
by: Zhang, Hao, et al.
Published: (2023)
by: Zhang, Hao, et al.
Published: (2023)
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
by: Chen, Yiyang, et al.
Published: (2024)
by: Chen, Yiyang, et al.
Published: (2024)
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
by: Su, Yuanzhi, et al.
Published: (2024)
by: Su, Yuanzhi, et al.
Published: (2024)
Similar Items
-
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
by: Chen, Chao, et al.
Published: (2024) -
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
by: Noda, Takeshi, et al.
Published: (2025) -
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
by: Zhou, Junsheng, et al.
Published: (2024) -
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation
by: Li, Qing, et al.
Published: (2023) -
CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
by: Zhou, Junsheng, et al.
Published: (2022)