Join us on January 16 for a talk on Meta's CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos 🚀 Nikita Karaev will explain how it works and share research insights from CoTracker and CoTracker3. Don’t miss it! lu.ma/ed7pnb0n

Check out our latest work, VGGT! ⚡️ It’s a fast transformer that predicts cameras, point maps, depth and 3D point tracks. VGGT + CoTracker significantly outperforms CoTracker in 2D point tracking.

VGGT: Visual Geometry Grounded Transformer Jianyuan Minghao Chen Nikita Karaev Andrea Vedaldi, Christian Rupprecht David Novotny tl;dr: Mast3r meets CoTracker, overcomplete predictions (depth AND pointmap, etc).Training: 64A100x9days. Sota on IMC-2020. arxiv.org/abs/2503.11651

This new 3D transformer VGGT is epic! (CVPR'25) 🔵 I just tried running it against 28 pics of my coral reef pictures (from GoPro) and in less than 15s got a 3D point cloud + camera positions ready. 🔵 Everything is end-to-end DL, no traditional SfM. Could instantly see all the

📢 a16z speedrun 🧊 SR005 APPLICATIONS JUST OPENED! a16z speedrun invests up to $1M in the best founders in the world across tech, AI and entertainment at the pre-seed/seed stage We bring in amazing speakers and mentors like Marc Andreessen 🇺🇸, Dylan Field (Figma), Tony Xu (DoorDash), Fei-Fei Li

🔥 A new state-of-the-art point tracker from Google DeepMind!

I love how people are finding new ways to apply CoTracker in robotics

Many Congratulations to Jianyuan#CVPR2025 2025, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht and David Novotny for winning the Best Paper Award @CVPR for "VGGT: Visual Geometry Grounded Transformer" 🥇🎉 🙌🙌 #CVPR2025!!!!!!

🚀 We release SpatialTrackerV2: the first feedforward model for dynamic 3D reconstruction and 3D point tracking — all at once! Reconstruct dynamic scenes and predict pixel-wise 3D motion in seconds. 🔗 Webpage: spatialtracker.github.io 🔍 Online Demo: huggingface.co/spaces/Yuxihen…

Thanks to AK for sharing our work! 🧩 Code: github.com/henry123-boy/S… 🌐 Project Page: spatialtracker.github.io 📄 The final version of our paper is coming in a few days — stay tuned!

Wow I didn't expect to receive so many DMs (400+), I'll go through them one by one. The pattern I noticed so far, which wasn't obvious to me a year ago - most people jump straight into pitching their idea without saying a word about the team. The team is actually *the* most