🔥Telegram İfşa

We're heading to Milan 🍕 for #ECCV2024 next week! Come chat with the team and see our latest work 👇

📝 MotionFix accepted at SIGGRAPH Asia ➡️ Hong Kong 2024! (a) We introduce a new dataset for Text-driven 3D human motion editing MotionFix. (b) We train a diffusion model TMED to edit a motion according to an edit text.

Hiring #ELLISPhD in 2025. Apply by Nov 15 using the central portal.

Deadline pizza time! 🍕🍕🍕 #CVPR2025 #CVPR2025 ann

Big congratulations to Gül Varol for her successful habilitation on a snowy day in Paris. I’ve had the pleasure of collaborating with Gül over many years and highly recommend her to prospective students. She is an outstanding advisor who is technically deep and hands on.

📢 I’ll be admitting PhD students to Columbia CS in the heart of NYC 🗽—the most vibrant city in the world! 🌆 If you're passionate about advancing robot learning and envision a future where robots 🤖 are part of our daily lives, apply to join my group: yunzhuli.github.io

🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocation—we predict global locations by refining random guesses into trajectories across the Earth's surface! 🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk

⚠️Reconstructing sharp 3D meshes from a few unposed images is a hard and ambiguous problem. ☑️With MAtCha, we leverage a pretrained depth model to recover sharp meshes from sparse views including both foreground and background, within mins!🧵 🌐Webpage: anttwo.github.io/matcha/

🤔 What if embedding multimodal EO data was as easy as using a ResNet on images? Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)! Try it with just a few lines of code:

"Move 37" is the word-of-day - it's when an AI, trained via the trial-and-error process of reinforcement learning, discovers actions that are new, surprising, and secretly brilliant even to expert humans. It is a magical, just slightly unnerving, emergent phenomenon only

You can now paste YouTube links *directly* to use Gemini audio-video understanding on aistudio.google.com 😀

Chapter-Llama Efficient Chaptering in Hour-Long Videos with LLMs

Check this out to see how we can get a LLM to effectively chapter hour-long videos 😀

#CVPR2025 Sat June 14 (PM) 🎬 Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol 📄 pdf: arxiv.org/abs/2504.00072 🌐 webpage: imagine.enpc.fr/~lucas.ventura… 💻 code: github.com/lucas-ventura/…

Can text-to-image Diffusion models handle surreal compositions beyond their training distribution? 🚨 Introducing ComposeAnything — Composite object priors for diffusion models 📸 More faithful, controllable generations — no retraining required. 🔗zeeshank95.github.io/composeanythin… 1/9

Come to our poster today at #CVPR2025! 📍 Poster Session 4 #301 | ExHall D 📅 June 14, 17:00-19:00 📄 Paper: arxiv.org/abs/2504.00072 🔗 Project: imagine.enpc.fr/~lucas.ventura… 💻 Code: github.com/lucas-ventura/…

Movies are more than just video clips, they are stories! 🎬 We’re hosting the 1st SLoMO Workshop at #ICCV2025 to discuss Story-Level Movie Understanding & Audio Descriptions! Website: slomo-workshop.github.io Competition: huggingface.co/spaces/SLoMO-W…