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

🤔 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 🧵👇

🤔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 🧵👇

In order to extract features from diffusion models, you have to noise your input and tune the noise level for each downstream task. But isn't there a better way? 🤔 Turns out there is, using our newly proposed feature extraction method CleanDIFT 🧹🚀 Check it out ⬇️

After many years, our lab finally has a social media presence at @compvis.bsky.social ! 🥳 Give it a follow, we have some amazing research on generative computer vision coming soon!