NeAF: Learning Neural Angle Fields for Point Normal Estimation

30 November 2022

Papers citing "NeAF: Learning Neural Angle Fields for Point Normal Estimation"

38 / 38 papers shown

Title
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation Takeshi Noda C. L. P. Chen Junsheng Zhou Weiqi Zhang Yu-Shen Liu Zhizhong Han 3DPC 45 3 0 31 Mar 2025
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction Wenyuan Zhang Emily Yue-ting Jia Junsheng Zhou Baorui Ma Kanle Shi Yu-Shen Liu Zhizhong Han 45 3 0 24 Mar 2025
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction Wenyuan Zhang Yixiao Yang Han Huang Liang Han Kanle Shi Yu-Shen Liu Zhizhong Han MDE 55 3 0 24 Mar 2025
UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping Aashish Rai Dilin Wang Mihir Jain N. Sarafianos Arthur Chen Srinath Sridhar Aayush Prakash 3DGS 72 1 0 03 Feb 2025
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes Tejaswini Medi Arianna Rampini Pradyumna Reddy P. Jayaraman M. Keuper DiffM 79 0 0 28 Nov 2024
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step Takeshi Noda C. L. P. Chen Weiqi Zhang Xinhai Liu Y. Liu Zhizhong Han 3DPC 40 8 0 02 Nov 2024
DiffGS: Functional Gaussian Splatting Diffusion Junsheng Zhou Weiqi Zhang Yu-Shen Liu 3DGS 28 15 0 25 Oct 2024
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis Liang Han Junsheng Zhou Yu-Shen Liu Zhizhong Han 3DGS 35 12 0 24 Oct 2024
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly Junsheng Zhou Yu-Shen Liu Zhizhong Han ViT 32 9 0 21 Oct 2024
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set Wenyuan Zhang Yu-Shen Liu Zhizhong Han 3DGS 33 15 0 18 Oct 2024
OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds Yingrui Wu Mingyang Zhao Weize Quan Jian Shi Xiaohong Jia Dong-Ming Yan 3DPC 35 0 0 02 Sep 2024
Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE Yiying Yang Fukun Yin Jiayuan Fan Xin Chen Wanzhang Li Gang Yu VGen 44 0 0 10 Aug 2024
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping Junsheng Zhou Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 38 9 0 04 Jul 2024
Consistent Point Orientation for Manifold Surfaces via Boundary Integration Weizhou Liu Xingce Wang Haichuan Zhao Xingfei Xue Zhongke Wu Xuequan Lu Ying He 31 3 0 03 Jul 2024
Asymmetrical Siamese Network for Point Clouds Normal Estimation Wei Jin Jun Zhou Nannan Li Haba Madeline Xiuping Liu 3DPC 19 0 0 14 Jun 2024
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 31 0 0 01 Jun 2024
Fast and Globally Consistent Normal Orientation based on the Winding Number Normal Consistency Siyou Lin Zuoqiang Shi Yebin Liu 30 1 0 26 May 2024
Refining 3D Point Cloud Normal Estimation via Sample Selection Jun Zhou Yaoshun Li Hongchen Tan Mingjie Wang Nannan Li Xiuping Liu 3DPC 27 0 0 20 May 2024
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion Junsheng Zhou Weiqi Zhang Baorui Ma Kanle Shi Yu-Shen Liu Zhizhong Han 37 18 0 10 Apr 2024
Surface Normal Estimation with Transformers Barry Shichen Hu Siyun Liang Johannes Paetzold H. Nguyen Isao Echizen Jiapeng Tang ViT 3DPC 28 0 0 11 Jan 2024
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry Yingrui Wu Mingyang Zhao Keqiang Li Weize Quan Tianqi Yu Jianfeng Yang Xiaohong Jia Dong-Ming Yan 3DPC 13 6 0 14 Dec 2023
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching Junsheng Zhou Baorui Ma Wenyuan Zhang Yi Fang Yu-Shen Liu Zhizhong Han 3DPC 15 27 0 07 Dec 2023
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function Qing Li Huifang Feng Kanle Shi Yuedong Gao Yi Fang Yu-Shen Liu Zhizhong Han 3DPC 24 10 0 01 Nov 2023
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation Qing Li Huifang Feng Kanle Shi Yi Fang Yu-Shen Liu Zhizhong Han 3DPC 34 10 0 17 Sep 2023
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds Chao Chen Yu-Shen Liu Zhizhong Han 3DPC 23 12 0 25 Aug 2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection Junsheng Zhou Baorui Ma Shujuan Li Yu-Shen Liu Zhizhong Han 30 36 0 22 Aug 2023
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation Peng Xiang Xin Wen Yu-Shen Liu Hui Zhang Yi Fang Zhizhong Han 3DPC 18 9 0 18 Aug 2023
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim M. Matsuoka 3DPC 19 9 0 04 Aug 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 22 23 0 02 Jun 2023
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment Baorui Ma Junsheng Zhou Yu-Shen Liu Zhizhong Han FedML 18 40 0 19 May 2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds Qing Li Huifang Feng Kanle Shi Yuedong Gao Yi Fang Yu-Shen Liu Zhizhong Han 3DPC 28 15 0 10 May 2023
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field Rui-Xue Xu Zhiyang Dou Ningna Wang Shiqing Xin Shuangmin Chen Mingyan Jiang X. Guo Wenping Wang Changhe Tu 21 52 0 23 Apr 2023
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors Chao Chen Yu-Shen Liu Zhizhong Han 3DPC 22 28 0 25 Mar 2023
CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization Junsheng Zhou Baorui Ma Shujuan Li Yu-Shen Liu Yi Fang Zhizhong Han 3DPC 39 42 0 06 Oct 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds Junsheng Zhou Xin Wen Baorui Ma Yu-Shen Liu Yue Gao Yi Fang Zhizhong Han 3DPC 28 17 0 26 Mar 2022
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds Tianyang Li Xin Wen Yu-Shen Liu Huapeng Su Zhizhong Han 3DPC 50 52 0 26 Mar 2022
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection Jun Zhou Hua Huang Bin Liu Xiuping Liu 3DPC 3DV 39 51 0 18 Oct 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016