Dec 7, 2023 · Abstract:Recent significant advances in text-to-image models unlock the possibility of training vision systems using synthetic images, ...

In this paper we study the scaling laws of synthetic images generated by state of the art text-to-image models, for the training of supervised models: image ...

Scaling Disparity: Training on synthetic images does not scale as effectively as training on the real ImageNet training set images, and typically has a smaller ...

In this paper we study the scaling laws of synthetic images generated by state of the art text-to-image models, for the training of supervised models: image ...

In this paper we study the scaling laws of synthetic images generated by state of the art text-to-image models, for the training of supervised models: image ...

How does synthetic data scale per class? Deep Dive. Inconsistently! - They point to three classes: “scaling”, “easy”, “poor” ...

Dec 7, 2023 · The analysis indicates that the inability of off-the-shelf text-to-image models to generate certain concepts is a limitation that ...

Duration: 4:54
Posted: Jun 3, 2024

Models like [22, 67,89] use only generated images from Stable Diffusion for supervised training of a downstream classifier. [22,31,73] show that it is also ...

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