I am a PhD student at the University of Chicago's 3DL (threedle) lab studying computer graphics, 3D computer vision, and deep learning. I am advised by Rana Hanocka. Previously, I interned at Adobe Research. My research is supported by an NSF GRFP fellowship.
Best Segmentation Buddies computes segment-to-segment correspondence across different modalities.
Our hierarchical diffusion shares denoising steps across correlated prompts to enable more efficient generation of image sets with diffusion models.
We propose an interactive segmentation technique for 3D shapes that produces fine-grained segmentations based on user clicks.
Our approach generates precise localizations and highly detailed local textures on meshes using text guidance.
Our technique reasons about where to place seemingly unrelated concepts in semantically meaningful locations on the 3D shape, such as a 'poncho' on a horse or 'shoes' on an alien.
We present a system which extracts and classifies relations between variables from images of plots.