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Antonio Torralba

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
EditGAN: High-Precision Semantic Image Editing
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DriveGAN: Towards a Controllable High-Quality Neural Simulation
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Learning to Simulate Dynamic Environments with GameGAN
Neural Turtle Graphics for Modeling City Road Layouts
Meta Sim: Learning to Generate Synthetic Datasets

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