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[1/10] 🚨 We present our recent Snap Inc. project: Stable Flow --- A training-free method that performs various types of image editing operations (e.g., non-rigid editing, object addition and replacement) using flow models. Project page: omriavrahami.com/stable-flow

🚀 Excited to share ObjectMate, our latest Google AI project! A new approach to zero-shot subject-driven generation and object insertion. 🔗 Explore our project page: object-mate.com 📄 Arxiv: arxiv.org/abs/2412.08645

Check out our cool new work led by Eliahu Horwitz on building an Atlas out of HuggingFace!

I'm excited about the recent feature we've been working on at Pika - action editing! 🏃 📹 Video editing methods often focus on spatial edits. Our method can directly edit the *action* of objects, even when the video already contains a distinctive motion (e.g, 👋).

Many modern SpeechLMs are trained with Speech-Text interleaving. How does this impact scaling trends? In our new paper, we train several dozen SLMs, and show - quite a lot! So there is room for optimism 😊 Key insights, code, models, full paper 👇🏻

Our work maps hereditary relationships between models. We find that weights🏋️ are sufficient for decoding the Origin of Models🌳 Presenting today at ICLR 2026, 15:00–17:30, Hall 3, poster #360. Come by to see our method, visualizations, and interactive demo atlas👀🚀 #ICLR2025

🎵💬 If you are interested in Audio Tokenisers, you should check out our new work! We empirically analysed existing tokenisers from every way - reconstruction, downstream, LMs and more. Grab yourself a ☕/🍺 and sit down for a read!