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Ming Gui

@mgui7.bsky.social

261 followers 52 following 0 posts

PhD Student @CompVis LMU Munich 🎯 Focusing on Generative AI and Visual Synthesis

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Pingchuan Ma @pima-hyphen.bsky.social · 18/10/2025

I’m thrilled to share that I’ll present two first-authored papers at #ICCV2025 🌺 in Honolulu together with @mgui7.bsky.social ! 🏝️ (Thread 🧵👇)

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Johannes Schusterbauer @joh-schb.bsky.social · 17/10/2025

🤔 What if you could generate an entire image using just one continuous token? 💡 It works if we leverage a self-supervised representation! Meet RepTok🦎: A generative model that encodes an image into a single continuous latent while keeping realism and semantics. 🧵 👇

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Johannes Schusterbauer @joh-schb.bsky.social · 06/06/2025

Looking forward to attending #CVPR2025 in Nashville next week 🎸🎶 @mgui7.bsky.social and I will be presenting our latest work: 🌊 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment

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Pingchuan Ma @pima-hyphen.bsky.social · 08/01/2025

🤔When combining Vision-language models (VLMs) with Large language models (LLMs), do VLMs benefit from additional genuine semantics or artificial augmentations of the text for downstream tasks? 🤨Interested? Check out our latest work at #AAAI25: 💻Code and 📝Paper at: github.com/CompVis/DisCLIP 🧵👇

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Nick Stracke @rmsnorm.bsky.social · 04/12/2024

🤔 Why do we extract diffusion features from noisy images? Isn’t that destroying information? Yes, it is - but we found a way to do better. 🚀 Here’s how we unlock better features, no noise, no hassle. 📝 Project Page: compvis.github.io/cleandift 💻 Code: github.com/CompVis/clea... 🧵👇

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Sander Dieleman @sedielem.bsky.social · 27/11/2024

Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!

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