🎉Excited to present CryoSPIRE (Scaffold Part-Aware Mixture of Gaussians) in #NeurIPS2025! I will be in Mexico City, happy to chat!! Grateful to my supervisors @fleet_dj @marcusabrubaker and @DaveLindell Paper: https://t.co/kZ7LPW0jEm Webpage: https://t.co/1jLGkhcKoA 🧵[1/7]

We at TMLR are proud to announce that selected papers will now be eligible for an opportunity to present at the joint NeurIPS/ICML/ICLR Journal-to-Conference (J2C) Track: https://t.co/CyjZtqbnBS

Thrilled to announced that at #ICCV2025 we will host the first workshop on 𝐆𝐞𝐨𝐦𝐞𝐭𝐫𝐲-𝐅𝐫𝐞𝐞 𝐍𝐨𝐯𝐞𝐥 𝐕𝐢𝐞𝐰 𝐒𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐚𝐛𝐥𝐞 𝐕𝐢𝐝𝐞𝐨 𝐌𝐨𝐝𝐞𝐥𝐬 https://t.co/s79tzoUcLN a.k.a. "3D Computer Vision in the era of Video Models" 😅

📢Interested in doing a PhD in generative models 🤖, AI4Science 🧬, Sampling 🧑‍🔬, and beyond? I am hiring PhD students at Imperial College London @ICComputing for the next application cycle. 🔗See the call below: https://t.co/kAG4qdTHXt And a light expression of interest:

🎉Personal update: I'm thrilled to announce that I'm joining Imperial College London @imperialcollege as an Assistant Professor of Computing @ICComputing starting January 2026. My future lab and I will continue to work on building better Generative Models 🤖, the hardest

Vector research internships are a great way to launch your career in AI. Apply and think carefully which faculty are most aligned.

Ever wish you could turn your video generator into a controllable physics simulator? We're thrilled to introduce Force Prompting! Animate any image with physical forces and get fine-grained control, without needing any physics simulator or 3D assets at inference. 🧵(1/n)

📢📢📢 SFU (Vancouver) is re-opening PhD applications for students seeking different arrangements due to the current political climate. Condition: you must be holding an offer from a US university that ranks in the top-50 (worldwide). **Please** do not email me otherwise.

📢 Introducing a geometry-aware diffusion model for 3D scene inpainting! TL;DR: We condition a diffusion inpainter on a set of coordinate-aligned reference-based cues derived from the scene geometry to autoregressively inpaint a set of images. 🖼️✨ (1/7)

Calling all PhD students in vision/ML interested in working with a great team (+me!) at GDM doing cutting edge research in 3D computer vision and generative models!

RadFoam source code has arrived! (Apache-v2) https://t.co/E05KeVD5Pe Belated happy Valentine's day 🥰

📢📢📢 "𝐑𝐚𝐝𝐢𝐚𝐧𝐭 𝐅𝐨𝐚𝐦: Real-Time Differentiable Ray Tracing", a mesh-based 3D represention. https://t.co/wcI6Xj6UHR https://t.co/JOzRTfkgbl Co-lead by my PhD students Shrisudhan Govindarajan and Daniel Rebain, and w/ @kwangmoo_yi

Check out the changes for #ICCV2025 🌶️ https://t.co/rBRTjduBcx

Less than a week left until the #CVPR2025 deadline! Approach your reviews the way you’d want your own to be handled. Reviewer guidelines: https://t.co/TkAI5g7r2E

Congratulations to @s_shekarforoush for a great job presenting our work at the poster on Friday and in the talk at the MLSB workshop today!

So excited to present CryoSPIN at NeurIPS! Please come and chat with us! 📅 Friday, Dec 13, 11 AM - 2 PM 📌 East Exhibit Hall A-C, Poster #1105 Paper: https://t.co/D63rG6SWFr Webpage:

Ever tried to run COLMAP or other SfM pipeline only to have it fail due to movement in the video? Check out our new work exploring how detect and mask dynamic objects!

I'm recruiting graduate students for Fall 2025 to work at the intersection of Computer Vision, Deep Learning, and Robotics. If you are interested in building a controllable organic simulation engine and enabling safe robot learning, consider applying to UofT's CS PhD program 1/n

📢 Check out 'Simpler Diffusion' led by @emiel_hoogeboom! Sigmoid loss is great for pixel diffusion in several ways, plus new architecture improvements and more :).

Built on our work from ✨Med-Gemini✨, we're thrilled to unveil ⚡️⚡️CT Foundation⚡️⚡️, a novel AI endpoint that simplifies CT scans analysis!