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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... show more

Yuke Zhu

23,849 subscribers

80,828 просмотров • 3 месяцев назад •via X (Twitter)

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Комментарии: 15

Фото профиля Aetheris_Consulting 🇺🇸

Aetheris_Consulting 🇺🇸3 месяцев назад

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Фото профиля Aetheris_Consulting 🇺🇸

Aetheris_Consulting 🇺🇸3 месяцев назад

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!!! 👍

Фото профиля Arthur Petron

Arthur Petron3 месяцев назад

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

Фото профиля Weijie Wang

Weijie Wang2 месяцев назад

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

Фото профиля Sitarama Chekuri

Sitarama Chekuri3 месяцев назад

Looks amazing. Are the objects physics ready and interactive?

Фото профиля Mikhail

Mikhail3 месяцев назад

thanks habibi

Фото профиля Ferbin

Ferbin3 месяцев назад

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

Фото профиля Efstratios Gavves

Efstratios Gavves3 месяцев назад

@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:

Фото профиля just10101

just101012 месяцев назад

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

Фото профиля EB1A Experts

EB1A Experts3 месяцев назад

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.

Фото профиля Larry Panozzo

Larry Panozzo3 месяцев назад

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?

Фото профиля Zavian Pokharkar

Zavian Pokharkar2 месяцев назад

Yuke

Фото профиля Adel Dennaoui

Adel Dennaoui2 месяцев назад

When will the code be released? :)

Фото профиля AI Mastery Guide

AI Mastery Guide3 месяцев назад

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

Фото профиля Kavya

Kavya1 месяц назад

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

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