snousias / mesh-saliency-detection-using-convolutional-neural-networks
Mesh saliency has been widely considered as the measure of visual importance of certain parts of 3D geometries, distinguishable from their surroundings, with respect to human visual perception. This work is based on the use of convolutional neural networks to extract saliency maps for large and dense 3D scanned models. The network is trained wit…
☆15Updated 4 years ago
Alternatives and similar repositories for mesh-saliency-detection-using-convolutional-neural-networks:
Users that are interested in mesh-saliency-detection-using-convolutional-neural-networks are comparing it to the libraries listed below
- Mesh denoising with graph convolutional networks☆54Updated 2 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆59Updated last month
- Correlation Clustering on weighted mesh under an anisotropic metric☆44Updated 5 years ago
- Improved MeshCNN for surface type segmention on realistic CAD models.☆17Updated 3 years ago
- Graph convolutional networks for mesh segmentation on human and object models.☆20Updated 4 years ago
- Non-Local Low-Rank Normal Filtering for Mesh Denoising☆15Updated 3 years ago
- MeshWalker implementation☆50Updated 3 years ago
- Implementation of Hierarchical Mesh Decomposition using Fuzzy Clustering and Cuts☆31Updated 6 years ago
- Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion☆71Updated 11 months ago
- Code for the SIGGRAPH 2017 paper "Convolutional Neural Networks on Surfaces via Seamless Toric Covers"☆21Updated 6 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆53Updated 8 months ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆112Updated 3 years ago
- Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.☆88Updated last month
- This is an implementation for the paper entitled "Fast mesh denoising with data driven normal filtering using deep variational autoencode…☆12Updated 4 years ago
- ☆14Updated 4 years ago
- Implementation of the paper: "Adaptive Remeshing for Real-Time Mesh Deformation"☆16Updated 2 years ago
- Computing Medial Axis Transform with Feature Preservation via Restricted Power Diagram. ACM Transactions on Graphics (SIGGRAPH Asia 2022)…☆22Updated 5 months ago
- Uniform, Explicit and Implicit Laplacian Mesh Smoothing☆36Updated 7 years ago
- Code of RFEPS: Reconstructing Feature-line Equipped Polygonal Surface. ACM Transactions on Graphics, SIGGRAPH Asia 2022 Paper.☆63Updated 9 months ago
- ☆56Updated 6 months ago
- Mesh hole filling algorithm☆32Updated last year
- ☆95Updated 5 months ago
- Surface Simplification using Intrinsic Error Metrics☆68Updated last year
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆26Updated 2 years ago
- Code base of ParSeNet: ECCV 2020.☆114Updated 4 years ago
- prototype code for neural subdivision☆123Updated last year
- An exemplary implementation of the Ball Pivoting Algorithm (BPA) for surface reconstruction from oriented point clouds☆36Updated 2 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- Mesh Skeleton Extraction Using Laplacian Contraction☆44Updated 7 years ago
- ☆52Updated 3 years ago