34 citations · 104 across the 13 of their papers we have counts for
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cs.CV2019
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Udaranga Wickramasinghe, Edoardo Remelli, Graham Knott +1
CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation. However, 3D surface representations are often required for proper analy…
cs.CV2019★ 15 cited
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
Edoardo Remelli, Pierre Baque, Pascal Fua
Most algorithms that rely on deep learning-based approaches to generate 3D point sets can only produce clouds containing fixed number of points. Furthermore, they typically require…