The Generative Intelligence Lab studies the collaboration between Human Creators and Generative Models, with the goal of building intelligent machines capable of helping everyone tell their visual stories. We are studying the following questions:
- Interaction between creators and generative models: How can we help creators control the model outputs more easily? We develop algorithms and interfaces for controllable visual synthesis (e.g., images, videos, 3D, visual+tactile)
- Rewriting and searching generative models: How can creators repurpose existing models for new tasks, concepts, and styles? How could they rewrite the rules of models? Which model shall they use as a starting point?
- Co-existence of creators and generative models: How can we allow creators to opt in or out of generative models at any time? If opting in, how do we credit creators for contributing training data?
- Synthetic data generation with generative models: How can we use generative models to produce useful data for improving computer vision and robotics systems?
Our lab is part of Carnegie Mellon Graphics Lab and Carnegie Mellon Computer Vision Group.
