Search Results for author:
Found 3 papers, 1 papers with code
Rich Human Feedback for Text-to-Image Generation
We show that the predicted rich human feedback can be leveraged to improve image generation, for example, by selecting high-quality training data to finetune and improve the generative models, or by creating masks with predicted heatmaps to inpaint the problematic regions.
Playful Interactions for Representation Learning
In this work, we propose to use playful interactions in a self-supervised manner to learn visual representations for downstream tasks.
Visual Imitation Made Easy
We use commercially available reacher-grabber assistive tools both as a data collection device and as the robot's end-effector.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
