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Generative Models

6381 directly classified papers

Papers per year

Papers

View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019
A Generative Model for Dynamic Networks with Applications AAAI 2019
Self-Adversarially Learned Bayesian Sampling AAAI 2019
On-Line Adaptative Curriculum Learning for GANs AAAI 2019
Learning Segmentation Masks with the Independence Prior AAAI 2019
Adversarial Learning of Semantic Relevance in Text to Image Synthesis AAAI 2019
FRAME Revisited: An Interpretation View Based on Particle Evolution AAAI 2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction AAAI 2019
EnsNet: Ensconce Text in the Wild AAAI 2019
Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019
Face Reconstruction from Voice using Generative Adversarial Networks NIPS 2019
Implicit Generation and Modeling with Energy Based Models NIPS 2019
A Model to Search for Synthesizable Molecules NIPS 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis CVPR 2019
Image Generation From Layout CVPR 2019
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification CVPR 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019
Generalized Sliced Wasserstein Distances NIPS 2019
Learning elementary structures for 3D shape generation and matching NIPS 2019
Learning to Infer Implicit Surfaces without 3D Supervision NIPS 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations NIPS 2019
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis NIPS 2019
Emergence of Object Segmentation in Perturbed Generative Models NIPS 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019