WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

CODE: https://github.com/Ascend-Research/HeadPoseEstimation-WHENet

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Tracking Any Point (TAP)

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Google Colab: https://github.com/google-deepmind/tapnet

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This channels is for Programmers, Coders, Software Engineers.

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EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction

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🌴🌴Direct-a-Video: driving Video Generation🌴🌴

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👉Paper https://arxiv.org/pdf/2402.03162.pdf
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🌟 Discover 6DRepNet: The Ultimate Head Pose Estimation Model!

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Watch the performance showcase on GitHub for future advancements.

[Source Code] [Paper]

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AiOS: The Future of Human Shape & Pose Recovery

Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.

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Project Page
Read the Paper

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