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conftrace_

shape representation

52 papers

Papers

Shape Self-Correction for Unsupervised Point Cloud Understanding ICCV 2021 Staying in shape: learning invariant shape representations using contrastive learning UAI 2021 Unsupervised Human Pose Estimation Through Transforming Shape Templates CVPR 2021 Unsupervised Part Segmentation Through Disentangling Appearance and Shape CVPR 2021 GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models CVPR 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020 Local Deep Implicit Functions for 3D Shape CVPR 2020 Point Cloud Completion by Skip-Attention Network With Hierarchical Folding CVPR 2020 Synthesizing human-like sketches from natural images using a conditional convolutional decoder WACV 2020 3D Guided Fine-Grained Face Manipulation CVPR 2019 A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images CVPR 2019 Deep Meta Functionals for Shape Representation ICCV 2019 DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation CVPR 2019 Gated-SCNN: Gated Shape CNNs for Semantic Segmentation ICCV 2019 Learning to Infer Implicit Surfaces without 3D Supervision NeurIPS 2019 Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes CVPR 2019 MAT-Net: Medial Axis Transform Network for 3D Object Recognition IJCAI 2019 OperatorNet: Recovering 3D Shapes From Difference Operators ICCV 2019 Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019 Shapeglot: Learning Language for Shape Differentiation ICCV 2019 Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids CVPR 2019 Planar Shape Detection at Structural Scales CVPR 2018 Surface Networks CVPR 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018