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.

🤔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 🧵👇

Did you know you can distill the capabilities of a large diffusion model into a small ViT? ⚗️ We showed exactly that for a fundamental task: semantic correspondence📍 A thread 🧵👇

Your Diffusion Model is secretly an implicit timestep model, no matter discrete or continuous~

Nick Stracke@rmsnorm.bsky.social · 2y ago

🤔 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... 🧵👇

Introducing “MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM”! We do SLAM with novel view synthesis capabilities on multiple simultaneously operating agents! vladimiryugay.github.io/magic_slam/i... 1/7