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cs.CV2025
Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
Shen Zhu, Yinzhu Jin, Ifrah Zawar +1
We propose a diffusion model designed to generate point-based shape representations with correspondences. Traditional statistical shape models have considered point correspondences…
cs.CV2025
MedIL: Implicit Latent Spaces for Generating Heterogeneous Medical Images at Arbitrary Resolutions
Tyler Spears, Shen Zhu, Yinzhu Jin +2
In this work, we introduce MedIL, a first-of-its-kind autoencoder built for encoding medical images with heterogeneous sizes and resolutions for image generation. Medical images ar…