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Pingchuan Ma

@pima-hyphen.bsky.social
42 followers 35 following 17 posts

PhD Student at Ommer Lab, Munich (Stable Diffusion) 🎯 Working on getting my first 3M.

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Johannes Schusterbauer @joh-schb.bsky.social · 26/05/2026
Diffusion models treat every part of an image equally. → Same number of steps. Same compute. But images aren’t uniform. 🤔 Some regions are easy, others are hard. So why force the model to treat them the same? 🧵
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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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Stefan Baumann @stefanabaumann.bsky.social · 15/10/2025
🤔 What happens when you poke a scene — and your model has to predict how the world moves in response? We built the Flow Poke Transformer (FPT) to model multi-modal scene dynamics from sparse interactions. It learns to predict the 𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯 of motion itself 🧵👇
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Pingchuan Ma @pima-hyphen.bsky.social · 04/08/2025
I just wrapped up my bidding process for AAAI 26, which is always an enjoyable experience. This year, I came across submissions titled things like “000ASD”, “testy”, “123321241”, and even cases with identical titles and abstracts but different submission numbers.
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Pingchuan Ma @pima-hyphen.bsky.social · 28/02/2025
Our work received an invited talk at the Imageomics-AAAI-25 workshop of #AAAI25. @vtaohu.bsky.social will be representing us there. Without me being there, I still would like to share our poster with you :D We also have another oral presentation for DepthFM on March 1, 2:30 pm-3:45 pm.
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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 🧵👇
Our method pipeline
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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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