🚀 Introducing Diffusion-Based Attention Warping for Consistent 3D Scene Editing – a method that ensures view-consistent 3D edits from a single reference image, done in collaboration with liorwolf 🌐 Project page: attention-warp.github.io 📄 Paper: arxiv.org/abs/2412.07984 1/5

🚀 Just dropped our latest work: “FlowMo – Variance-Based Flow Guidance for Coherent Motion in Video Generation” 🎥✨ 📝 arxiv.org/pdf/2506.01144 #AI #VideoGeneration #DiffusionModels

FlowMo Variance-Based Flow Guidance for Coherent Motion in Video Generation

LLMs Don’t Think Like Developers - Until Now. Together with shahar katz and liorwolf We made LLMs execute their code while generating it, just like a human developer. Meet EG-CFG: A new inference-time method that injects real-time execution feedback into the generation loop.

Exciting news from #ICML2025 & #ICCV2025 🥳 - 🥇 VideoJAM accepted as *oral* at #ICML2025 (top 1%) - Two talks at #ICCV2025 ☝️interpretability in the generative era ✌️video customization - Organizing two #ICCV2025 workshops ☝️structural priors for vision ✌️long video gen 🧵👇