1 code implementation • 15 Dec 2023 • Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam
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.
no code implementations • 19 Jul 2021 • Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto
In this work, we propose to use playful interactions in a self-supervised manner to learn visual representations for downstream tasks.
no code implementations • 11 Aug 2020 • Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
We use commercially available reacher-grabber assistive tools both as a data collection device and as the robot's end-effector.