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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 просмотров • 2 лет назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

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Комментарии: 11

Фото профиля Carlos Barreto

Carlos Barreto2 лет назад

Looks like one more amazing work from you 👏

Фото профиля Georgia Gkioxari

Georgia Gkioxari2 лет назад

Haaaaaaands! 🫶👐

Фото профиля Georgios Pavlakos

Georgios Pavlakos2 лет назад

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

Фото профиля Carlos Barreto

Carlos Barreto2 лет назад

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

Фото профиля John Mierzwa 🏞

John Mierzwa 🏞2 лет назад

This looks amazing, great work!

Фото профиля Akshay Mundra

Akshay Mundra2 лет назад

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

Фото профиля Georgios Pavlakos

Georgios Pavlakos2 лет назад

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

Фото профиля INIYSA

INIYSA2 лет назад

This is crazy good

Фото профиля AI Bites | YouTube Channel

AI Bites | YouTube Channel2 лет назад

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

Фото профиля Andrzej Białecki

Andrzej Białecki2 лет назад

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?

Фото профиля Georgios Pavlakos

Georgios Pavlakos2 лет назад

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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