Ming Gui
@mgui7.bsky.social
PhD Student @CompVis LMU Munich
🎯 Focusing on Generative AI and Visual Synthesis
🎯 Focusing on Generative AI and Visual Synthesis
Reposted by Ming Gui
I’m thrilled to share that I’ll present two first-authored papers at #ICCV2025 🌺 in Honolulu together with @mgui7.bsky.social ! 🏝️
(Thread 🧵👇)
(Thread 🧵👇)
October 18, 2025 at 3:01 AM
I’m thrilled to share that I’ll present two first-authored papers at #ICCV2025 🌺 in Honolulu together with @mgui7.bsky.social ! 🏝️
(Thread 🧵👇)
(Thread 🧵👇)
Reposted by Ming Gui
🤔 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. 🧵 👇
💡 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. 🧵 👇
October 17, 2025 at 10:21 AM
🤔 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. 🧵 👇
💡 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. 🧵 👇
Reposted by Ming Gui
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
🌊 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
June 6, 2025 at 3:48 PM
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
🌊 Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Reposted by Ming Gui
🤔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
🧵👇
🤨Interested? Check out our latest work at #AAAI25:
💻Code and 📝Paper at: github.com/CompVis/DisCLIP
🧵👇
January 8, 2025 at 3:54 PM
🤔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
🧵👇
🤨Interested? Check out our latest work at #AAAI25:
💻Code and 📝Paper at: github.com/CompVis/DisCLIP
🧵👇
Reposted by Ming Gui
🤔 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...
🧵👇
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...
🧵👇
December 4, 2024 at 11:31 PM
🤔 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...
🧵👇
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...
🧵👇
Reposted by Ming Gui
Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
November 27, 2024 at 6:31 PM
Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!