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jackd/shapenet_r2n2-02691156.json

Created March 24, 2019 11:12
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dataset info for shapenet_r2n2 for [this PR](https://github.com/tensorflow/datasets/pull/32)
Raw
shapenet_r2n2-02691156.json
{
"citation": "\n@inproceedings{choy20163d,\n title={3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction},\n author={Choy, Christopher B and Xu, Danfei and Gwak, JunYoung and Chen, Kevin and Savarese, Silvio},\n booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},\n year={2016}\n}\n",
"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
"location": {
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"https://www.shapenet.org/"
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},
"name": "shapenet_r2n2",
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{
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{
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Raw
shapenet_r2n2-02828884.json
{
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Raw
shapenet_r2n2-02933112.json
{
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"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
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Raw
shapenet_r2n2-02958343.json
{
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"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
"location": {
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Raw
shapenet_r2n2-03001627.json
{
"citation": "\n@inproceedings{choy20163d,\n title={3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction},\n author={Choy, Christopher B and Xu, Danfei and Gwak, JunYoung and Chen, Kevin and Savarese, Silvio},\n booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},\n year={2016}\n}\n",
"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
"location": {
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Raw
shapenet_r2n2-03211117.json
{
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"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
"location": {
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"http://cvgl.stanford.edu/3d-r2n2/",
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Raw
shapenet_r2n2-03636649.json
{
"citation": "\n@inproceedings{choy20163d,\n title={3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction},\n author={Choy, Christopher B and Xu, Danfei and Gwak, JunYoung and Chen, Kevin and Savarese, Silvio},\n booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},\n year={2016}\n}\n",
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"location": {
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Raw
shapenet_r2n2-03691459.json
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"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
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Raw
shapenet_r2n2-04090263.json
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"citation": "\n@inproceedings{choy20163d,\n title={3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction},\n author={Choy, Christopher B and Xu, Danfei and Gwak, JunYoung and Chen, Kevin and Savarese, Silvio},\n booktitle = {Proceedings of the European Conference on Computer Vision ({ECCV})},\n year={2016}\n}\n",
"description": "Shapenet is a large collection of 3D CAD models. This dataset provides renderings and voxelizations of a subset of 13 categories as used by Choy et al.",
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