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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 Aufrufe • vor 9 Monaten •via X (Twitter)

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15 Kommentare

Profilbild von Yawar Siddiqui

Yawar Siddiquivor 9 Monaten

Code: Model: Evaluation Dataset: Video:

Profilbild von Jim

Jimvor 9 Monaten

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

Profilbild von Zwecharki of Immense AGI fundamentalism

Zwecharki of Immense AGI fundamentalismvor 9 Monaten

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?

Profilbild von David Ferrera

David Ferreravor 9 Monaten

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

Profilbild von Not Indexed

Not Indexedvor 9 Monaten

@droneforge

Profilbild von X-Files

X-Filesvor 9 Monaten

@intuition_trust You need a drone automated like prometheus

Profilbild von Zwecharki of Immense AGI fundamentalism

Zwecharki of Immense AGI fundamentalismvor 9 Monaten

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

Profilbild von Joshua Poddoku

Joshua Poddokuvor 9 Monaten

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

Profilbild von Amit

Amitvor 9 Monaten

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.

Profilbild von Reza Sayar

Reza Sayarvor 9 Monaten

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

Profilbild von mrkelly

mrkellyvor 9 Monaten

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

Profilbild von Micah Alpern

Micah Alpernvor 9 Monaten

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

Profilbild von Nick Harris

Nick Harrisvor 9 Monaten

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

Profilbild von ObotX - Open Source Robotics

ObotX - Open Source Roboticsvor 9 Monaten

nice!

Profilbild von indoor positioning

indoor positioningvor 9 Monaten

@grok 这个的应用场景

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