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1/5 Last week, we released an updated version of CoTracker, our transformer-based model for tracking any point in a video. It’s now capable of tracking 10x more points than before!

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Nikita Karaev

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63,568 просмотров • 2 лет назад •via X (Twitter)

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We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: 🧵
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We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: 🧵

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Can we robustly track an object’s 6D pose in contact-rich, occluded scenarios? Yes! Our solution, V-HOP, fuses vision and touch through a visuo-haptic transformer for precise, real-time tracking. arXiv: Project:
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Can we robustly track an object’s 6D pose in contact-rich, occluded scenarios? Yes! Our solution, V-HOP, fuses vision and touch through a visuo-haptic transformer for precise, real-time tracking. arXiv: Project:

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Last week we released our Gemini 3.1 Pro Deep Think model. Here are a succession of examples of that model doing heat transfer analysis. No tools, just Deep Think and Image Generation. Step 1: generate a CAD file from a technical drawing.
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Last week we released our Gemini 3.1 Pro Deep Think model. Here are a succession of examples of that model doing heat transfer analysis. No tools, just Deep Think and Image Generation. Step 1: generate a CAD file from a technical drawing.

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Our best look yet at the Mega Man motion capture model in action from The Great Capcom Exhibition. It’s an updated version of the Mega Man 11 model, featuring adjusted proportions and subtle new details.
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Excited to share our (w/ Vishakh Sandwar) entry to the '25 #BigDataBowl! We built a Transformer-based model predicting man/zone coverage in the presnap... peaking at 89% accuracy before the snap— and 93% 1sec after the snap (More below!)
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Today, we are adding Stable Video Diffusion, our foundation model for generative video to the Stability AI Developer Platform API. The model can generate 2 seconds of video, comprising of 25 generated frames and 24 frames of FILM interpolation, within an average time of 41 seconds. Developers interested in utilizing Stable Video Diffusion through an API can access it now on the Stability AI Developer Platform. Learn more here:

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