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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 / 2,504 papers shown
Title
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Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
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SAL: Sign Agnostic Learning of Shapes from Raw Data
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DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction
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Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
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Deep Meta Functionals for Shape Representation
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Higher-Order Function Networks for Learning Composable 3D Object Representations
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Learning Part Generation and Assembly for Structure-aware Shape Synthesis
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Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
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Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
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Controlling Neural Level Sets
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