Cover Image

Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Junsheng, Ma, Baorui, Liu, Yu-Shen, Han, Zhizhong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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)

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
by: Zhou, Junsheng, 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)

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

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

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

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

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
by: Chen, Chao, et al.
Published: (2024)

SDFReg: Learning Signed Distance Functions for Point Cloud Registration
by: Zhang, Leida, et al.
Published: (2023)

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

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

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
by: Jiang, Sijia, et al.
Published: (2024)

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

Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
by: Bai, Qiang, et al.
Published: (2025)

GAP: Gaussianize Any Point Clouds with Text Guidance
by: Zhang, Weiqi, 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)

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
by: Wang, Tengkai, et al.
Published: (2025)

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

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

DiffGS: Functional Gaussian Splatting Diffusion
by: Zhou, Junsheng, et al.
Published: (2024)

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
by: Li, Jichang, et al.
Published: (2023)

GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance
by: Zhang, Weiqi, et al.
Published: (2026)

Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module
by: Zhang, Dingxin, et al.
Published: (2024)

Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection
by: Sakai, Shunsuke, et al.
Published: (2025)

UGD: An Unsupervised Geometric Distance for Evaluating Real-world Noisy Point Cloud Denoising
by: Su, Zhiyong, et al.
Published: (2026)

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
by: Lee, Donghyun, et al.
Published: (2025)

Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
by: Lee, Hansang, et al.
Published: (2022)

Metric--Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds
by: Kong, Jiayi, et al.
Published: (2026)

Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering
by: Li, Qing, et al.
Published: (2025)

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

Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
by: Wei, Xiangbin
Published: (2025)

Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
by: Wei, Xiangbin, et al.
Published: (2025)

AnchoredDream: Zero-Shot 360° Indoor Scene Generation from a Single View via Geometric Grounding
by: Yao, Runmao, et al.
Published: (2026)

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
by: Qiu, Longtian, et al.
Published: (2025)

Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
by: Liang, Chao, et al.
Published: (2025)

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
by: Wang, Siqi, et al.
Published: (2023)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)