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1901.05103
Cited By
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
16 January 2019
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
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Papers citing
"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation"
50 / 2,680 papers shown
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Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
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156
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Signed Distance Function Computation from an Implicit Surface
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A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
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Jiteng Mu
Weichao Qiu
Adam Kortylewski
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One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
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Neural RGB-D Surface Reconstruction
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InfinityGAN: Towards Infinite-Pixel Image Synthesis
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CoCoNets: Continuous Contrastive 3D Scene Representations
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IEEE International Conference on Computer Vision (ICCV), 2021
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378
239
0
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Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
AAAI Conference on Artificial Intelligence (AAAI), 2021
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172
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MirrorNeRF: One-shot Neural Portrait Radiance Field from Multi-mirror Catadioptric Imaging
International Conference on Computational Photography (ICCP), 2021
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Minye Wu
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394
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Convolutional Neural Opacity Radiance Fields
International Conference on Computational Photography (ICCP), 2021
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174
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236
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Adam R. Kosiorek
279
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