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Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Stavros Nousias, Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas
2020 Zenodo  
The proposed approach employs conditional variational autoencoders to effectively filter face normals.  ...  In this work, we propose a fast and robust denoising method for dense 3D scanned industrial models.  ...  (e) L0 minimization [15] , (f) guided normal filtering [13] ,(g) Cascaded mesh denoising (h) our approach. and traditional bilateral normal filtering [12] .  ... 
doi:10.5281/zenodo.3865275 fatcat:p7dbz6ya2bc5hfgtywielvuipq

Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Stavros Nousias, Gerasimos Arvanitis, Aris Lalos, Konstantinos Moustakas
2020 IEEE Transactions on Industrial Informatics  
The proposed approach employs conditional variational autoencoders to effectively filter face normals.  ...  In this work, we propose a fast and robust denoising method for dense 3D scanned industrial models.  ...  Execution time measurements presented in Table II [14] . (c) Bilateral normal filtering [12] . (d) L 0 minimization [15] . (e) Guided normal filtering [13] . (f) Cascaded mesh denoising.  ... 
doi:10.1109/tii.2020.3000491 fatcat:g2t5nlhegnexnepifvv46nfiee

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views [article]

Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang
2022 arXiv   pre-print
We introduce SparseNeuS, a novel neural rendering based method for the task of surface reconstruction from multi-view images.  ...  SparseNeuS adopts signed distance function (SDF) as the surface representation, and learns generalizable priors from image features by introducing geometry encoding volumes for generic surface prediction  ...  Acknowlegements We thank the valuable feedbacks of reviewers. Xiaoxiao Long is supported by Hong Kong PhD Fellowship Scheme.  ... 
arXiv:2206.05737v2 fatcat:ogyjkmt6hncgrmvfwaugbdndgu

Modified Bilateral Filter for Feature Enhancement in Mesh Denoising

Hyeon-Deok Han, Jong-Ki Han
2022 IEEE Access  
INDEX TERMS Bilateral filter, feature enhancement, mesh denoising, mesh normal filtering.  ...  state-of-the-art methods.  ...  [28] used local geometry descriptors as inputs for training neural networks. The network consists of single-hidden layer feed forward networks in a cascaded way. Wang et al.  ... 
doi:10.1109/access.2022.3176961 fatcat:6i2pcfrgx5e6fo6ykeykawk4yy

Mesh Total Generalized Variation for Denoising [article]

Zheng Liu, YanLei Li, Weina Wang, Ligang Liu, Renjie Chen
2021 arXiv   pre-print
Further, we propose a TGV-based variational model to restore the face normal field for mesh denoising.  ...  However, none of the existing works aims at numerically calculating TGV over triangular meshes.  ...  [47] proposed a normal filtering neural network, called NormalF-Net. It consists of a denoising and refinement subnetwork. Li et al.  ... 
arXiv:2101.02322v2 fatcat:mi5nzytlcnh23pdnahwo2vfdo4

3D Mesh Pre-processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics

Yawen Liu, Bingxuan Guo, Xiongwu Xiao, Wei Qiu
2021 Remote Sensing  
the reliability of the joint bilateral filtering algorithm and avoids losing the corner structures; (2) The filtered facet normal is used to classify the feature points based on the normal voting tensor  ...  (NVT) method, which raised the accuracy and integrity of feature classification for the noisy model; (3) The anisotropic vertex update strategy is used in triangular mesh denoising: updating the non-feature  ...  the robustness of the GMNF method to filter the normal to a certain extent; (2) Improving the accuracy of the classification feature points of the noise model (helping to accurately consider the real  ... 
doi:10.3390/rs13112145 fatcat:6fuoawojtzacxbvpubkmul4ks4

Low Rank Matrix Approximation for Geometry Filtering [article]

Xuequan Lu, Scott Schaefer, Jun Luo, Lizhuang Ma, Ying He
2018 arXiv   pre-print
We show applications of our method to point cloud filtering, point set upsampling, surface reconstruction, mesh denoising, and geometric texture removal.  ...  Furthermore, we provide a new filtering method for point cloud data to smooth the position data to fit the estimated normals.  ...  Convolutional neural networks have recently been applied to estimate normals in point clouds [Boulch and Marlet 2016] .  ... 
arXiv:1803.06783v2 fatcat:5ckabbt2tbba7nfcwjs6u3wgrq

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 445-460 G Gabor filters Ensemble of Deep Convolutional Neural Networks With Gabor Face Repre- sentations for Face Recognition.  ...  ., +, TIP 2020 5900-5911 Efficient and Fast Real-World Noisy Image Denoising by Combining Pyramid Neural Network and Two-Pathway Unscented Kalman Filter.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
., +, LSP 2020 585-589 DOA Estimation Method Based on Cascaded Neural Network for Two Closely Spaced Sources.  ...  ., +, LSP 2020 1680-1684 Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. Chung, K.J., +, LSP 2020 141-145 Subband Aware CNN for Cell-Phone Recognition.  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Farias, F., +, LSP 2021 1170-1174 Channel and Space Attention Neural Network for Image Denoising.  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74

Deep Point Set Resampling via Gradient Fields [article]

Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu
2021 arXiv   pre-print
of the model for solvable optimization.  ...  In this paper, we propose a novel paradigm of point set resampling for restoration, which learns continuous gradient fields of point clouds that converge points towards the underlying surface.  ...  GPDNet [21] uses graph convolutional networks to enhance the robustness of the neural denoiser.  ... 
arXiv:2111.02045v1 fatcat:bhgisbcshjcejf5ztkwbmpx6ia

3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network [article]

Wenyuan Sun, Ping Zhou, Yangang Wang, Zongpu Yu, Jing Jin, Guangquan Zhou
2022 arXiv   pre-print
Recent works introduced different methods for 3D surface segmentation, while the performance is still limited.  ...  Face parsing assigns pixel-wise semantic labels as the face representation for computers, which is the fundamental part of many advanced face technologies.  ...  Noted that both 2D face image and 3D mesh data are involved in this study, the labels should be measured by pixel number for 2D image segmentation and area for 3D mesh data.  ... 
arXiv:2206.09221v1 fatcat:gklhd3cqyzey3da6hzad7aunma

2020 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 42

2021 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Birdal, T., +, TPAMI June 2020 1333-1347 Learning Complexity-Aware Cascades for Pedestrian Detection.  ...  ., +, Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts.  ...  ., +, TPAMI Feb. 2020 261-275 Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts.  ... 
doi:10.1109/tpami.2020.3036557 fatcat:3j6s2l53x5eqxnlsptsgbjeebe

Table of Contents

2021 IEEE Signal Processing Letters  
Wang Channel and Space Attention Neural Network for Image Denoising . . . . . . . . . . . . . . . . . . . .Y. Wang, X. Song, and K.  ...  Li Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..Wang F0-Based Gammatone Filtering for Intelligibility Gain of  ... 
doi:10.1109/lsp.2021.3134549 fatcat:m6obtl7k7zdqvd62eo3c4tptfy

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Hu, X., +, TIP 2021 8102-8115 Geometry Auxiliary Salient Object Detection for Light Fields via Graph Neural Networks.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu
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