2 citations · 6 across the 15 of their papers we have counts for
3 papers · 1 filter
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang +4
Text-to-image (T2I) diffusion models have revolutionized generative modeling by producing high-fidelity, diverse, and visually realistic images from textual prompts. Despite these…
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
Andrew Lizarraga, David Lee, Antoni Kubicki +4
We present a geometric framework for aligning white matter fiber tracts. By registering fiber tracts between brains, one expects to see overlap of anatomical structures that often…
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi
We present SrvfNet, a generative deep learning framework for the joint multiple alignment of large collections of functional data comprising square-root velocity functions (SRVF) t…