Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation. However, 3D surface representations are often required for proper analysis. They can be obtained by post-processing the labeled volumes which typically introduces artifacts and prevents end-to-end training. In this paper, we therefore introduce a novel architecture that goes directly from 3D image volumes to 3D surfaces without post-processing and with better accuracy than current methods. We evaluate it on Electron Microscopy and MRI brain images as well as CT liver scans. We will show that it outperforms state-of-the-art segmentation methods.
Code (1)
Tasks
modelSegmentationSimilar Papers 제목 키워드 기반
Neural Volumetric Mesh Generator
Deep generative models have shown success in generating 3D shapes with different representations. In this work, we propose Neural Volumetric Mesh Generator(NVMG) which can generate novel and high-quality volumetric meshe…
Voxel-Mesh Hybrid Representation for Real-Time View Synthesis
The neural radiance fields (NeRF) have emerged as a prominent methodology for synthesizing realistic images of novel views. While neural radiance representations based on voxels or mesh individually offer distinct advant…
NeRFNeural RenderingLearning Deformable Tetrahedral Meshes for 3D Reconstruction
3D shape representations that accommodate learning-based 3D reconstruction are an open problem in machine learning and computer graphics. Previous work on neural 3D reconstruction demonstrated benefits, but also limitati…
3D ReconstructionMeshWeaver: Sparse-Voxel-Guided Surface Weaving for Autoregressive Mesh Generation
Autoregressive mesh generation has gained attention by tokenizing meshes into sequences and training models in a language-modeling fashion. However, existing approaches suffer from two fundamental limitations: (i) low to…
Predicting the Next Best View for 3D Mesh Refinement
3D reconstruction is a core task in many applications such as robot navigation or sites inspections. Finding the best poses to capture part of the scene is one of the most challenging topic that goes under the name of Ne…
3D ReconstructionRobot Navigation