Co-occurring keywords · papers mentioning both
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