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New AI research from Meta – CoTracker3 Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. More details ➡️ Demo on Hugging Face ➡️ Building on our previous work on CoTracker, this new model demonstrates impressive tracking results where points can be tracked for a long time even when... show more

AI at Meta

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219,175 次观看 • 2 年前 •via X (Twitter)

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jmpy 的头像

jmpy2 年前

@huggingface

BensenHsu 的头像

BensenHsu2 年前

The paper introduces a new point tracking model called CoTracker3 that builds upon recent point tracking models like PIPs, TAPIR, and CoTracker. Point tracking is an important task in video analysis for applications like 3D reconstruction and video editing. The CoTracker3 model, when trained only on synthetic data, already outperforms state-of-the-art trackers on several benchmarks. When further fine-tuned on just 15,000 real-world unlabeled videos using the proposed protocol, it significantly surpasses the performance of BootsTAPIR, which was trained on 15 million real videos. CoTracker3 also shows better handling of occluded points compared to other models. full paper:

Yufan Zhuang 的头像

Yufan Zhuang2 年前

@huggingface love how meta keeps open-sourcing these research

Moses and AI 的头像

Moses and AI2 年前

@huggingface Your things @Mbounge_

Yosi Frost 的头像

Yosi Frost2 年前

@huggingface That’s awesome!

Alex Fridd 的头像

Alex Fridd2 年前

@huggingface Exciting development! Meta's new CoTracker3 could revolutionize point tracking in real videos.

AI_TechnoKing 的头像

AI_TechnoKing2 年前

@huggingface This is wild.

GPT.Biz 的头像

GPT.Biz2 年前

@huggingface This new AI model from Meta sounds impressive! CoTracker3 could really push forward developments in point tracking technology

Bhack 的头像

Bhack2 年前

@huggingface When are you going to release co-tracker under an Open Source/OSI license? It is the 3rd release under Creative Commons.

Phil Gjørup 的头像

Phil Gjørup2 年前

@huggingface wow!

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