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Check out Ariticraft 🦾 - a highly efficient agentic system that generates articulated 3D assets fully automatically at scale! 🚀

235,670 просмотров • 5 месяцев назад •via X (Twitter)

Комментарии: 23

Фото профиля Elliott / Shangzhe Wu
Elliott / Shangzhe Wu5 месяцев назад

With this pipeline, we created the Articraft-10K dataset with 10,000+ articulated 3D assets. Try it out and contribute your generated assets to our repo: We’ll actively maintain the dataset, and all assets are fully open-source.

Фото профиля Ethan vs Machines
Ethan vs Machines5 месяцев назад

Robot intelligence = LOT of data. Articraft = LOT of auto-generated parts 🤖 I keep saying Canada's advanced manufacturing is done. No future. Jump ship.

Фото профиля David Bui
David Bui5 месяцев назад

this is sick

Фото профиля Henry Ventura
Henry Ventura5 месяцев назад

this is insane and giving me tons of fomo

Фото профиля Prasanna Venkatesan
Prasanna Venkatesan5 месяцев назад

This looks like a genuinely different approach to 3D asset creation — curious how it handles complex articulation constraints (e.g. multi-joint characters vs. simpler objects)? Also, any plans to open-source or offer API access?

Фото профиля Elliott / Shangzhe Wu
Elliott / Shangzhe Wu5 месяцев назад

We open-sourced everything (code, paper, assets, agent traces)! You can launch the viewer from the codebase and inspect all the assets:

Фото профиля Tarasha Khurana
Tarasha Khurana5 месяцев назад

@Oxford_VGG so cool Elliott!

Фото профиля Neuro
Neuro5 месяцев назад

@KushMetaX @homeMetaX @0xGmedia

Фото профиля Mentis 🇦🇺
Mentis 🇦🇺5 месяцев назад

WAT?! 🤯

Фото профиля AiDevCraft
AiDevCraft5 месяцев назад

Coding agents writing simulation-ready joints is the part that flips this from a 3D paper to a robotics dataset story — the validation loop is the real product. Curious how often Articraft's executor rejects a generated joint vs. silently passing a physically-broken one.

Фото профиля Elliott / Shangzhe Wu
Elliott / Shangzhe Wu5 месяцев назад

Good question! All agent traces have been recorded and released with the dataset, so it should be possible to check

Фото профиля AiDevCraft
AiDevCraft5 месяцев назад

Releasing the agent traces flips validation from a vendor claim into an auditable empirical number — rejection rate becomes a real benchmark instead of a marketing one. Worth surfacing it as a leaderboard metric so future generators can be compared against the same physics ground truth.

Фото профиля Yo.Town 3D
Yo.Town 3D3 месяцев назад

Hi Elliott, we used Claude to generate about 500 lines of Python CAD for an articulated violin, then edited it through pinned notes, exported STEP, and tried in Fusion 360.

Фото профиля Elliott / Shangzhe Wu
Elliott / Shangzhe Wu3 месяцев назад

very cool! Code is one of the best representations when it comes to design and editing.

Фото профиля Saurabh Patil
Saurabh Patil5 месяцев назад

This is amazing !!

Фото профиля Julian le Roux
Julian le Roux5 месяцев назад

abs(wow)

Фото профиля Simone
Simone5 месяцев назад

wow this's awesome!

Фото профиля Rhy
Rhy5 месяцев назад

we're building the application layer for this - would love to connect!

Фото профиля KidFl4sh
KidFl4sh5 месяцев назад

I know you won’t feel a single ounce of remorse when 3D modelers will lose their jobs.

Фото профиля DDaisy.Sunny | minicoin
DDaisy.Sunny | minicoin5 месяцев назад

tjis agentic 3d at scale is actually crazy bro hehe

Фото профиля Applemint(stakeholder)
Applemint(stakeholder)5 месяцев назад

😳😳😳😳😳😳😳

Фото профиля Red pill or blue pill?
Red pill or blue pill?5 месяцев назад

is it funded?

Фото профиля Triangulated Eidolon
Triangulated Eidolon5 месяцев назад

Brilliant dataset and pipeline! Do you plan to add texturising and PBR material generation to it? How is the scaling mechanism working now?

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