🔔🔔Thrilled to share #MoMo [SIGGRAPH Asia ➡️ Hong Kong 2024 🥳🎉]: Exploring the attention space of #MotionDiffusionModels. Our training-free method enables cool applications like this motion transfer 🐒🐒. monkeyseedocg.github.io

🚀 Meet DiP: our newest text-to-motion diffusion model! ✨ Ultra-fast generation ♾️ Creates endless, dynamic motions 🔄 Seamlessly switch prompts on the fly Best of all, it's now available in the MDM codebase: github.com/GuyTevet/motio… [1/3]

How well LLMs are memorizing obscure details from scientific papers? I created a benchmark for that! Full code, dataset and data creation method included. tl;dr GPT4.5 is a major jump in scientific facts memorization. Thread below 👇

RefVNLI Towards Scalable Evaluation of Subject-driven Text-to-image Generation

🔔Excited to announce that #AnyTop has been accepted to #SIGGRAPH2025!🥳 ✅ A diffusion model that generates motion for arbitrary skeletons ✅ Using only a skeletal structure as input ✅ Learns semantic correspondences across diverse skeletons 🌐 Project: anytop2025.github.io/Anytop-page

Excited to share that "IP-Composer: Semantic Composition of Visual Concepts" got accepted to #SIGGRAPH2025!🥳 We show how to combine visual concepts from multiple input images by projecting them into CLIP subspaces - no training, just neat embedding math✨ Really enjoyed working

Excited to share that our new work, Be Decisive, has been accepted to SIGGRAPH! We improve multi-subject generation by extracting a layout directly from noise, resulting in more diverse and accurate compositions. Website: omer11a.github.io/be-decisive/ Paper: arxiv.org/abs/2505.21488

Really impressive results for human-object interaction. They use a two-phase process where they optimize the diffusion noise, instead of the motion itself, to get to sub-centimeter precision while staying on manifold 🧠 HOIDiNi - hoidini.github.io

1/ Can we teach a motion model to "dance like a chicken" Or better: Can LoRA help motion diffusion models learn expressive, editable styles without forgetting how to move? Led by Haim Sawdayee, Chuan Guo, we explore this in our latest work. 🎥 haimsaw.github.io/LoRA-MDM/ 🧵👇

1/9 Excited to share EditP23! 🎨 Finally, a single tool for ALL your 3D editing needs: ✅ Pose & Geometry Changes ✅ Object Additions ✅ Global Style Transformations ✅ Local Modifications All driven by one simple 2D image edit. It's mask-free ✨ and works in seconds ⚡️. 🧵

T2I models excel at realism, but true creativity means generating what doesn't exist yet. How do you prompt for something you can't describe? 🎨 We introduce VLM-Guided Adaptive Negative Prompting: inference time method that promotes creative image generation. 1/6