🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Thrilled to see this plot in a recent survey on 'personalized image generation' (arxiv.org/abs/2502.13081) — highlighting the impact of our work! Huge congratulations to my fantastic students, whose creativity and dedication continue to drive exciting advances in the field!

I'm happy to share that Stable Flow has been accepted to #CVPR2025 🥳 Source code is available at omriavrahami.com/stable-flow/

SketchAgent has been accepted to #CVPR2025 ! This is an early step toward new tools for visual thinking and richer interaction with LLMs 🎨 🔗 sketch-agent.csail.mit.edu

🚀 New preprint! 🚀 Check out AnyTop 🤩 ✅ A diffusion model that generates motion for arbitrary skeletons 🦴 ✅ Using only a skeletal structure as input ✅ Learns semantic correspondences across diverse skeletons 🦅🐒🪲 🔗 Arxiv: arxiv.org/abs/2502.17327

“Tight Inversion” uses an IP-Adapter during DDIM inversion to preserve the original image better when editing. arxiv.org/abs/2502.20376

Vectorization into a neat SVG!🎨✨ Instead of generating a messy SVG (left), we produce a structured, compact representation (right) - enhancing usability for editing and modification. Accepted to #CVPR2025 !

Ever stared at a set of shapes and thought: 'These could be something… but what?' Designed for visual ideation, PiT takes a set of concepts and interprets them as parts within a target domain, assembling them together while also sampling missing parts. eladrich.github.io/PiT/

🔔just landed: IP Composer🎨 semantically mix & match visual concepts from images ❌ text prompts can't always capture visual nuances ❌ visual input based methods often need training / don't allow fine grained control over *which* concepts to extract from our input images So👇

Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent

🔔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 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

🧵1/ Text-to-video models generate stunning visuals, but… motion? Not so much. You get extra limbs, objects popping in and out... In our new paper, we present FlowMo -- an inference-time method that reduces temporal artifacts without retraining or architectural changes. 👇

Beyond excited to share FlowMo! We found that the latent representations by video models implicitly encode motion information, and can guide the model toward coherent motion at inference time Very proud of ariel shaulov Itay Hazan for this work! Plus, it’s open source! 🥳

Thrilled to share that our paper TokenVerse received a Best Paper Award at #SIGGRAPH2025! 🎉

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

From English to Portuguese, perfectly. Eagle Trindade 🦅 used LipDub AI to localize his podcast without re-recording a thing. Watch the side-by-side and see how natural the lip sync looks.

Tel Aviv friends: we're hosting an amazing rooftop meetup with a killer speaker lineup (not including me 😅) lu.ma/q8bigfqn

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/ 🧵👇

I'm very excited to announce our #SIGGRAPH2025 workshop: Drawing & Sketching: Art, Psychology, and Computer Graphics 🎨🧠🫖 🔗 lines-and-minds.github.io 📅 Sunday, August 10th Join us to explore how people draw, how machines draw, and how the two might draw together! 🤖✍️

{1/8} 🧵 When you click a link, have you ever wondered: “Which webpage is actually important?” Google answered that with PageRank—treating the web as a Markov chain. Now imagine doing the same… but for transformer attention.👇 🔗 yoterel.github.io/attention_chai…