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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 просмотров • 9 месяцев назад •via X (Twitter)

Образование Наука и технологии

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Комментарии: 15

Фото профиля Yawar Siddiqui

Yawar Siddiqui9 месяцев назад

Code: Model: Evaluation Dataset: Video:

Фото профиля Jim

Jim9 месяцев назад

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

Фото профиля Zwecharki of Immense AGI fundamentalism

Zwecharki of Immense AGI fundamentalism9 месяцев назад

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?

Фото профиля David Ferrera

David Ferrera9 месяцев назад

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

Фото профиля Not Indexed

Not Indexed9 месяцев назад

@droneforge

Фото профиля X-Files

X-Files9 месяцев назад

@intuition_trust You need a drone automated like prometheus

Фото профиля Zwecharki of Immense AGI fundamentalism

Zwecharki of Immense AGI fundamentalism9 месяцев назад

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

Фото профиля Joshua Poddoku

Joshua Poddoku9 месяцев назад

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

Фото профиля Amit

Amit9 месяцев назад

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.

Фото профиля Reza Sayar

Reza Sayar9 месяцев назад

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

Фото профиля mrkelly

mrkelly9 месяцев назад

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

Фото профиля Micah Alpern

Micah Alpern9 месяцев назад

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

Фото профиля Nick Harris

Nick Harris9 месяцев назад

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

Фото профиля ObotX - Open Source Robotics

ObotX - Open Source Robotics9 месяцев назад

nice!

Фото профиля indoor positioning

indoor positioning9 месяцев назад

@grok 这个的应用场景

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