Výsledky vyhledávání

Report

MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding

Autor: Han, Inhwa, Lee, Jaayeon, Ye, Jong Chul

Research efforts for visual decoding from fMRI signals have attracted considerable attention in research community. Still multi-subject fMRI decoding with one model has been considered intractable due to the drastic variations in fMRI signals between

Externí odkaz: http://arxiv.org/abs/2405.17720

Zobrazit plný text záznamu

Report

Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion

Autor: Han, Inhwa, Yang, Serin, Kwon, Taesung, Ye, Jong Chul

Diffusion models have shown superior performance in image generation and manipulation, but the inherent stochasticity presents challenges in preserving and manipulating image content and identity. While previous approaches like DreamBooth and Textual

Externí odkaz: http://arxiv.org/abs/2303.08767

Zobrazit plný text záznamu

Report

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model

Autor: Kim, Boah, Han, Inhwa, Ye, Jong Chul

Deformable image registration is one of the fundamental tasks in medical imaging. Classical registration algorithms usually require a high computational cost for iterative optimizations. Although deep-learning-based methods have been developed for fa

Externí odkaz: http://arxiv.org/abs/2112.05149

Zobrazit plný text záznamu