Co-occurring keywords · papers mentioning both
Papers
Diffusion-based Molecule Generation with Informative Prior Bridges
NeurIPS 2022
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
AAAI 2022
Point Cloud Generation with Continuous Conditioning
AISTATS 2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
CVPR 2022
CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating
AAAI 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
CVPR 2021
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation
CVPR 2021
Learning to Generate Dense Point Clouds With Textures on Multiple Categories
WACV 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks
NeurIPS 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
CVPR 2021
Single View Point Cloud Generation via Unified 3D Prototype
AAAI 2021
Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion
CVPR 2021
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract)
AAAI 2020
Energy-Based Processes for Exchangeable Data
ICML 2020
Hypernetwork approach to generating point clouds
ICML 2020
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
WACV 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
NeurIPS 2020
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
ICCV 2019
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
ICCV 2019
TopNet: Structural Point Cloud Decoder
CVPR 2019
Learning Representations and Generative Models for 3D Point Clouds
ICML 2018
A Point Set Generation Network for 3D Object Reconstruction From a Single Image
CVPR 2017