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

235,670 次观看 • 5 个月前 •via X (Twitter)

23 条评论

Elliott / Shangzhe Wu 的头像
Elliott / Shangzhe Wu5 个月前

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.

Ethan vs Machines 的头像
Ethan vs Machines5 个月前

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

David Bui 的头像
David Bui5 个月前

this is sick

Henry Ventura 的头像
Henry Ventura5 个月前

this is insane and giving me tons of fomo

Prasanna Venkatesan 的头像
Prasanna Venkatesan5 个月前

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?

Elliott / Shangzhe Wu 的头像
Elliott / Shangzhe Wu5 个月前

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

Tarasha Khurana 的头像
Tarasha Khurana5 个月前

@Oxford_VGG so cool Elliott!

Neuro 的头像
Neuro5 个月前

@KushMetaX @homeMetaX @0xGmedia

Mentis 🇦🇺 的头像
Mentis 🇦🇺5 个月前

WAT?! 🤯

AiDevCraft 的头像
AiDevCraft5 个月前

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.

Elliott / Shangzhe Wu 的头像
Elliott / Shangzhe Wu5 个月前

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

AiDevCraft 的头像
AiDevCraft5 个月前

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.

Yo.Town 3D 的头像
Yo.Town 3D3 个月前

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.

Elliott / Shangzhe Wu 的头像
Elliott / Shangzhe Wu3 个月前

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

Saurabh Patil 的头像
Saurabh Patil5 个月前

This is amazing !!

Julian le Roux 的头像
Julian le Roux5 个月前

abs(wow)

Simone 的头像
Simone5 个月前

wow this's awesome!

Rhy 的头像
Rhy5 个月前

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

KidFl4sh 的头像
KidFl4sh5 个月前

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

DDaisy.Sunny | minicoin 的头像
DDaisy.Sunny | minicoin5 个月前

tjis agentic 3d at scale is actually crazy bro hehe

Applemint(stakeholder) 的头像
Applemint(stakeholder)5 个月前

😳😳😳😳😳😳😳

Red pill or blue pill? 的头像
Red pill or blue pill?5 个月前

is it funded?

Triangulated Eidolon 的头像
Triangulated Eidolon5 个月前

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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