Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Learning Implicit Fields for Generative Shape Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars
Learning in Implicit Generative Models
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Exploring generative 3D shapes using autoencoder networks
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Learning part-based templates from large collections of 3D shapes
Sketch-based shape retrieval
Approximating Free-form Geometry with Height Fields for Manufacturing
A Variational U-Net for Conditional Appearance and Shape Generation
Skin: a constructive approach to modeling free-form shapes
High-level semantic feature for 3D shape based on deep belief networks
Implicit Shape Models for 3D Shape Classification with a Continuous Voting Space
3D ShapeNets: A deep representation for volumetric shapes
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization
Diffusion-on-Manifold Aggregation of Local Features for Shape-based 3D Model Retrieval
Building Statistical Shape Spaces for 3D Human Modeling
COMPUTATIONAL METHODS FOR SHAPE MANIPULATION IN GENERATION A LITERATURE REVIEW
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Trends, challenges and needs for lattice-based cryptography implementations: special session
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
A correlation-based approach to robust point set registration
WebMTD: Defeating Web Code Injection Attacks using Web Element Attribute Mutation