Yuyang Hu
@YuyangHu_666Third year Ph.D. student of ESE at Washington University in St. Louis @wustl. Member of @wustlcig.
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Fantastic!
Diffusion based image editing and personalization methods are expensive💰due to training, latent optimization or prompt-tuning🤷♂️. Introducing RF-Inversion🎯,the first efficient zero-shot inversion and editing framework for Flux🚀without training,optimization or prompt-tuning🧵⬇️
If interested, let me know. My team at CIG focuses on advancing the theory of score-based models with a strong focus on biomedical imaging applications.
If you are interested in joining CIG as a PhD student in 2025 and are from a U.S. institution, consider the Olin-Chancellor’s Fellowship. It provides $45,000 in annual stipend, $1,500 in research funds, full tuition scholarship, and more. More info: provost.wustl.edu/vpge/fellowshi…
Jill and I wish every family celebrating the Mid-Autumn Festival abundance, health, happiness, and a bountiful harvest in the year ahead!
Today, with collaborators at Google and UT Austin, we're announcing 🤖 RB-Modulation 🤖! It's a whole new training-free framework for conditioning on reference images (for style or subject) without adapters (!) with an elegant formulation 🔥 web: rb-modulation.github.io
On my way to ISBI in Athens, Greece! Thrilled for my oral presentation on DeepGEPCI on Tuesday morning from 8:45 to 9:00. Please check out paper here: arxiv.org/abs/2311.18073. Can't wait to discuss more in person!
On my way to ICLR🇦🇹! I'll be presenting my paper titled "A Restoration Network as an Implicit Prior" on Wednesday at 10:45 AM in Halle B, Room #202. Are you interested in computational imaging, inverse problem, or generative models? Let's connect and discuss more! #ICLR2024
✈️ Four CIG members will be at #ICLR2024 (@iclr_conf): ➤ Yuyang Hu (@YuyangHu_666): hu-yuyang.github.io ➤ Weijie Gan (@WeijieGan1): wjgancn.github.io ➤ Junhao Hu: charles-hu.github.io ➤ Ulugbek Kamilov (@ukmlv): engineering.wustl.edu/faculty/Ulugbe…
Excited to be in Vienna (✈️🇦🇹) next week for @iclr_conf! I'm presenting ~𝐈𝐧𝐃𝐈~ (@TmlrCert) [Wed 10:45] tmlr.infinite-conf.org/paper_pages/Vm… Also, @YuyangHu_666 is presenting ~𝐃𝐑𝐏~ wustl-cig.github.io/drpwww/ [Wed 10:45] Happy to chat about diffusion, inverse problems, or anything.
Excited to share my work “SPICER” has been accepted to the Magnetic Resonance in Medicine (@mrm_highlights)!
🎉 SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction was accepted to Magnetic Resonance in Medicine (@mrm_highlights). @YuyangHu_666 @WeijieGan1 @Jiaming__Liu @an_hongyu @ukmlv ➤ Project Page: wustl-cig.github.io/spicewww
New blog post! Some thoughts about diffusion distillation. Actually, quite a lot of thoughts 🤭 Please share your thoughts as well! sander.ai/2024/02/28/par…
Three papers accepted to ICLR2024 (@iclr_conf): ➤ Y. Hu, M. Delbracio, P. Milanfar, and U. S. Kamilov, “A Restoration Network as an Implicit Prior” Authors on X: @YuyangHu_666 @2ptmvd @docmilanfar @ukmlv Link: wustl-cig.github.io/drpwww (1/3)
Excited to share my recent work “DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model” considers cross-modality generation in magnetic resonance imaging (MRI) using a 2.5D conditional diffusion model. ⭑ Read here: arxiv.org/abs/2311.18073.
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Jiaming Liu
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