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We just released HaMeR, our latest work for Hand Mesh Recovery! We reconstruct hands in 3D from a single image with big improvements in accuracy and robustness. Code and models are available. Also colab and Hugging Face demo!

Georgios Pavlakos

2,437 subscribers

38,336 次观看 • 2 年前 •via X (Twitter)

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11 条评论

Carlos Barreto 的头像

Carlos Barreto2 年前

Looks like one more amazing work from you 👏

Georgia Gkioxari 的头像

Georgia Gkioxari2 年前

Haaaaaaands! 🫶👐

Georgios Pavlakos 的头像

Georgios Pavlakos2 年前

Yeees! Actually, instead of emojis, I will be using 3D hands now!

Carlos Barreto 的头像

Carlos Barreto2 年前

This is so popular that the link to download the model is disabled temporarily 😅

John Mierzwa 🏞 的头像

John Mierzwa 🏞2 年前

This looks amazing, great work!

Akshay Mundra 的头像

Akshay Mundra2 年前

I'm curious about the run time of the method. Can it be used for real time applications?

Georgios Pavlakos 的头像

Georgios Pavlakos2 年前

A single forward pass of the HaMeR network given a crop of a hand requires ~32ms on an RTX 3090.

INIYSA 的头像

INIYSA2 年前

This is crazy good

AI Bites | YouTube Channel 的头像

AI Bites | YouTube Channel2 年前

Yes this is awesome. Just featured your work on our account yesterday 🙂

Andrzej Białecki 的头像

Andrzej Białecki2 年前

Just a question is it possible then to extract that 3D model of a calibrated hand as a rig? And is it then possible to provide it with a single measurement to get precise hand size?

Georgios Pavlakos 的头像

Georgios Pavlakos2 年前

Our method actually predicts model parameters for the MANO hand parametric model, so you have access to the joint angles, not just the mesh surface. If you have some metric measurement, you can rescale the output accordingly.

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