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Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: Paper: Links to code and huggingface below ⬇️

Yawar Siddiqui

1,740 subscribers

71,078 görüntüleme • 9 ay önce •via X (Twitter)

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Yawar Siddiqui profil fotoğrafı

Yawar Siddiqui9 ay önce

Code: Model: Evaluation Dataset: Video:

Jim profil fotoğrafı

Jim9 ay önce

This is going to be amazing for so many applications especially robotics training data

Zwecharki of Immense AGI fundamentalism profil fotoğrafı

Zwecharki of Immense AGI fundamentalism9 ay önce

Its incredible. Can it be used with unstructured lidar data so we can combine it with iphone lidar + camera mount setups? Or does the lidar have to be specifically aligned with the cameras like on the Aria glasses?

David Ferrera profil fotoğrafı

David Ferrera9 ay önce

What do I use to capture the data: Meta Quest, iPhone, lidar?

Not Indexed profil fotoğrafı

Not Indexed9 ay önce

@droneforge

X-Files profil fotoğrafı

X-Files9 ay önce

@intuition_trust You need a drone automated like prometheus

Zwecharki of Immense AGI fundamentalism profil fotoğrafı

Zwecharki of Immense AGI fundamentalism9 ay önce

Can we use this to clear out floaters, low data areas that fuse together or white wall glitches for gaussian splat scans?

Joshua Poddoku profil fotoğrafı

Joshua Poddoku9 ay önce

Impressive direction, curious how it holds up in cluttered indoor scenes

Amit profil fotoğrafı

Amit9 ay önce

Rectified flow transformers for 3D generation are a step beyond vanilla diffusion. Conditioning on multimodal signals unlocks compositionality, but metric accuracy from casual sequences still hinges on how you handle scale drift and occlusions.

Reza Sayar profil fotoğrafı

Reza Sayar9 ay önce

wow!! awesome work!! and thanks for releasing everything! 🤗 @pablovelagomez1 lookie 🔥

mrkelly profil fotoğrafı

mrkelly9 ay önce

Casual sequences work great. Until your real data doesn't match the training distribution.

Micah Alpern profil fotoğrafı

Micah Alpern9 ay önce

What do you want to use it for? Making a robot that moves?

Nick Harris profil fotoğrafı

Nick Harris9 ay önce

Is this what Houzz Pro uses to build their mockups with the iphone scans

ObotX - Open Source Robotics profil fotoğrafı

ObotX - Open Source Robotics9 ay önce

nice!

indoor positioning profil fotoğrafı

indoor positioning9 ay önce

@grok 这个的应用场景

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