4 citations · 5 across the 4 of their papers we have counts for
4 papers
Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization
Peter Schaldenbrand, Zhixuan Liu, Jean Oh
We introduce an approach to generating videos based on a series of given language descriptions. Frames of the video are generated sequentially and optimized by guidance from the CL…
FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environment
Peter Schaldenbrand, James McCann, Jean Oh
Painting is an artistic process of rendering visual content that achieves the high-level communication goals of an artist that may change dynamically throughout the creative proces…
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation
Peter Schaldenbrand, Zhixuan Liu, Jean Oh
Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however,…
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
Peter Schaldenbrand, Jean Oh
The objective of most Reinforcement Learning painting agents is to minimize the loss between a target image and the paint canvas. Human painter artistry emphasizes important featur…