2 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model
Lawrence Chen, Peter Schaldenbrand, Tanmay Shankar +2
A painting is more than just a picture on a wall; a painting is a process comprised of many intentional brush strokes, the shapes of which are an important component of a painting'…
CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting
Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu +2
Prior robot painting and drawing work, such as FRIDA, has focused on decreasing the sim-to-real gap and expanding input modalities for users, but the interaction with these systems…
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu +5
Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are kn…