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deep-learning
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shapenet
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8 search results found
Pix2vox
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428
The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
2dimageto3dmodel
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190
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
Nips16_ptn
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125
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
Flex Convolution
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93
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Graphx Conv
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34
Official implementation of GraphX-Convolution
Componet
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10
CompoNET: geometric deep learning approach in architecture. From a single-image generates a building with all its components
Morton Net
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9
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
Point Planenet
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7
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
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