Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Jong Chul
Computer Science > Computer Vision and Pattern Recognition
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Computer Science > Computation and Language
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Computer Science > Computation and Language
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Computer Science > Computer Vision and Pattern Recognition
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2603.03769] IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Case Report: Expanding the diagnostic spectrum of non-invasive prenatal testing to structural chromosomal abnormalities
1 Introduction Sex chromosome abnormalities refer to numerical or structural abnormalities of the sex chromosomes, including full or partial duplications or deletions. Common sex chromosome aneuploidies (SCAs) include 45,X, 47,XXX, 47,XXY, and 47,XYY, while rarer forms such as 48,XXXX and 49,XXXXX occur less frequently. The discovery of cell-free DNA (cfDNA) by Lo et al.
[2510.05725] Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2510.03813] Diverse Text-to-Image Generation via Contrastive Noise Optimization
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2510.00430] Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
A Case of Spontaneous Regression of Lumbar Synovial Cyst and Literature Review.
Editorial Office Department of Neurosurgery, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea Tel: +82-31-780-1924 Fax: +82-31-780-5269 E-mail: support@e-neurospine.org The Korean Spinal Neurosurgery Society #407, Dong-A Villate 2 Town, 350 Seocho-daero, Seocho-gu, Seoul 06631, Korea Tel: +82-2-585-5455 Fax: +82-2-2-523-6812 E-mail: ksns1987@neurospine.or.kr Business License No.: 209-82-62443
Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
Work on one of the world's most important websites and make an impact on open science.
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Today Hugging Face is TRIPLING your donation to arXiv with a 2:1 match! Give today to keep science open for all.
[2409.12377] Fundus image enhancement through direct diffusion bridges
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2409.02574] Solving Video Inverse Problems Using Image Diffusion Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2407.17907] Amortized Posterior Sampling with Diffusion Prior Distillation
arXiv:2407.17907 (cs) [Submitted on 25 Jul 2024 (v1), last revised 11 Jul 2025 (this version, v2)] View PDF HTML (experimental) Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) Cite as: arXiv:2407.17907 [cs.CV] (or arXiv:2407.17907v2 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2407.17907 Submission history From: Jong Chul Ye [ view email] [v1] Thu, 25 Jul 2024 09:53:12 UTC (19,981 KB) [v2] Fri, 11 Jul 2025 04:01:19 UTC (29,817 KB) Bibliographic...
[2407.11555] Self-Guided Generation of Minority Samples Using Diffusion Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Noninvasive factors predicting the maintenance of pregnancy ... : Medicine
Your message has been successfully sent to your colleague. Some error has occurred while processing your request. Please try after some time.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Jong
Contact Jong, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack