We show that GenAug policies can achieve widespread real-world generalization for tabletop manipulation, even when they are only provided with a few demonstrations in a simple training environment. GenAug: Generative Augmentation for Real-World Data Collection Given the observation of the demonstration environment, GenAug automatically generates “augmented” RGBD images for entirely different and r