4 papers
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
Alec Helbling, Seongmin Lee, Polo Chau
Recently, researchers have proposed powerful systems for generating and manipulating images using natural language instructions. However, it is difficult to precisely specify many…
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions
Alec Helbling, Seongmin Lee, Polo Chau
Machine learning has enabled the development of powerful systems capable of editing images from natural language instructions. However, in many common scenarios it is difficult for…
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning
Alec Helbling, Evan Montoya, Duen Horng Chau
Recent text-to-image generative models can generate high-fidelity images from text prompts. However, these models struggle to consistently generate the same objects in different co…
PrefGen: Preference Guided Image Generation with Relative Attributes
Alec Helbling, Christopher J. Rozell, Matthew O'Shaughnessy +1
Deep generative models have the capacity to render high fidelity images of content like human faces. Recently, there has been substantial progress in conditionally generating image…