Hi, great work!
I have two questions about visualization of data distributions on different sources in fig.1.
Q1: Is the generated data visualized here learned from the corresponding data source? For example, in the first row, the data from stable diffusion is learned on LVIS train, right?
Q2: Based on the idea that generative data can expand the data distribution that the model can learn, is it possible for a generative model trained solely on one domain to generate data from another domain(e.g., model trained on training set can generate data similar to data in testing set)?
Looking forward to your answers!
![Uploading visualization.jpg…]()
Hi, great work! I have two questions about visualization of data distributions on different sources in fig.1. Q1: Is the generated data visualized here learned from the corresponding data source? For example, in the first row, the data from stable diffusion is learned on LVIS train, right? Q2: Based on the idea that generative data can expand the data distribution that the model can learn, is it possible for a generative model trained solely on one domain to generate data from another domain(e.g., model trained on training set can generate data similar to data in testing set)? Looking forward to your answers! ![Uploading visualization.jpg…]()