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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!

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Georgios Pavlakos

2,437 subscribers

38,336 Aufrufe • vor 2 Jahren •via X (Twitter)

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11 Kommentare

Profilbild von Carlos Barreto
Carlos Barretovor 2 Jahren

Looks like one more amazing work from you 👏

Profilbild von Georgia Gkioxari
Georgia Gkioxarivor 2 Jahren

Haaaaaaands! 🫶👐

Profilbild von Georgios Pavlakos
Georgios Pavlakosvor 2 Jahren

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

Profilbild von Carlos Barreto
Carlos Barretovor 2 Jahren

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

Profilbild von John Mierzwa 🏞
John Mierzwa 🏞vor 2 Jahren

This looks amazing, great work!

Profilbild von Akshay Mundra
Akshay Mundravor 2 Jahren

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

Profilbild von Georgios Pavlakos
Georgios Pavlakosvor 2 Jahren

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

Profilbild von INIYSA
INIYSAvor 2 Jahren

This is crazy good

Profilbild von AI Bites | YouTube Channel
AI Bites | YouTube Channelvor 2 Jahren

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

Profilbild von Andrzej Białecki
Andrzej Białeckivor 2 Jahren

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?

Profilbild von Georgios Pavlakos
Georgios Pavlakosvor 2 Jahren

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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