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Generative Models

6,381 papers

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Papers

NVAE: A Deep Hierarchical Variational Autoencoder NIPS 2020
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition NIPS 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NIPS 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data NIPS 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder NIPS 2020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction NIPS 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles NIPS 2020
ContraGAN: Contrastive Learning for Conditional Image Generation NIPS 2020
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation NIPS 2020
Fit2Form: 3D Generative Model for Robot Gripper Form Design CORL 2020
Recovering and Simulating Pedestrians in the Wild CORL 2020
Planning Paths Through Unknown Space by Imagining What Lies Therein CORL 2020
Generation of Realistic Images for Learning in Simulation using FeatureGAN CORL 2020
Generative adversarial training of product of policies for robust and adaptive movement primitives CORL 2020
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps CORL 2020
CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020
GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering AAAI 2020
Generating Realistic Stock Market Order Streams AAAI 2020
Learning to Generate Maps from Trajectories AAAI 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
Generate (Non-Software) Bugs to Fool Classifiers AAAI 2020
Attention Based Data Hiding with Generative Adversarial Networks AAAI 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020
A Character-Centric Neural Model for Automated Story Generation AAAI 2020
Deep Learning—Powered Iterative Combinatorial Auctions AAAI 2020