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Today, we're introducing SimFoundry, our real2sim2real framework at NVIDIA GEAR that automatically turns real-world scenes into simulation-ready worlds from a single image or video. Website: Paper: This work marks a major step for our team toward leveraging simulations and synthetic data for foundation model training and systematic policy evaluation...

80,828 Aufrufe • vor 3 Monaten •via X (Twitter)

15 Kommentare

Profilbild von Aetheris_Consulting 🇺🇸
Aetheris_Consulting 🇺🇸vor 3 Monaten

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Profilbild von Aetheris_Consulting 🇺🇸
Aetheris_Consulting 🇺🇸vor 3 Monaten

Yuke awesome work here!!! Can you consider making a plug in for @UnrealEngine @unity @godotengine ? That was through a harness LLM can do physics computations paired with real2sim2real to do a number of things. This is such great work pls keep it up!!! 👍

Profilbild von Arthur Petron
Arthur Petronvor 3 Monaten

How well do dynamics work? Like, if I drop the tennis ball from 0.5m in real does it bounce the same in sim?

Profilbild von Weijie Wang
Weijie Wangvor 2 Monaten

Another antidote to hype—real frontier work with paper and open-source pledge, verifiable author; judge it by the arXiv paper, not the summary.

Profilbild von Sitarama Chekuri
Sitarama Chekurivor 3 Monaten

Looks amazing. Are the objects physics ready and interactive?

Profilbild von Mikhail
Mikhailvor 3 Monaten

thanks habibi

Profilbild von Ferbin
Ferbinvor 3 Monaten

Robot training always gets stuck building training environments. Automating that from photos changes the whole game.

Profilbild von Efstratios Gavves
Efstratios Gavvesvor 3 Monaten

@yukez Great work! I think it would be fair and nice to cite our DreMa work that was the first to introduce in ICLR 2025 the paradigm:

Profilbild von just10101
just10101vor 2 Monaten

Shameless @danfei_xu Stop stealing from students/ interviewees Shame on @gtcomputing

Profilbild von EB1A Experts
EB1A Expertsvor 3 Monaten

Impressive work. Bridging real-world scenes and simulation-ready environments from minimal input is an exciting step toward more scalable robotics and foundation model development. Looking forward to seeing the open-source release.

Profilbild von Larry Panozzo
Larry Panozzovor 3 Monaten

Wow, from one video from one lens with depth estimation…amazing. Most applications would use stereo I imagine? Results could be even better then, with a different version of this framework?

Profilbild von Zavian Pokharkar
Zavian Pokharkarvor 2 Monaten

Yuke

Profilbild von Adel Dennaoui
Adel Dennaouivor 2 Monaten

When will the code be released? :)

Profilbild von AI Mastery Guide
AI Mastery Guidevor 3 Monaten

Real2sim2real from a single image is huge for robotics training data, excited to see this open-sourced.

Profilbild von Kavya
Kavyavor 1 Monat

@yukez, when will you be releasing the code? Would love to try this out!

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