Fix noisy 3D object mesh by transformers and use local geometric and spatial data with SurfaceFormer
Fix noisy 3D object mesh by transformers and use local geometric and spatial data with SurfaceFormer
Mesh Denoising Transformer
arXiv paper abstract https://arxiv.org/abs/2405.06536
arXiv PDF paper https://arxiv.org/pdf/2405.06536
Mesh denoising, aimed at removing noise from input meshes while preserving … feature structures, is … challenging … propose SurfaceFormer, … Transformer-based mesh denoising
… development of … representation known as Local Surface Descriptor … by establishing polar systems on each mesh face, followed by sampling points from adjacent surfaces using geodesics.
The normals of these points are organized into 2D patches, mimicking images to capture local geometric intricacies, whereas the poles and vertex coordinates are consolidated into a point cloud to embody spatial information.
This … surmounts the hurdles posed by the irregular and non-Euclidean characteristics of mesh data, facilitating a smooth integration with Transformer architecture.
… propose a dual-stream structure consisting of a Geometric Encoder … and a Spatial Encoder … which jointly encode local geometry details and spatial information to fully explore multimodal information for mesh denoising.
… approach outperforms existing state-of-the-art methods in both objective and subjective assessments, marking a significant leap forward in mesh denoising.
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