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Large-scale 3D Scene Generation (all scenes are real-time rendered)!! Physically-grounded generative data without hallucinations is the missing link for robot learning and testing at scale. We introduce a method that directly generates large-scale 3D driving scenes with accurate geometry, allowing for causal view synthesis and generation with object permanence... show more
27,853 Aufrufe • vor 1 Jahr •via X (Twitter)
14 Kommentare

This physically-grounded scene generation without hallucinations addresses a core challenge in consciousness research - how do we create systems that maintain object permanence and causal consistency? Your approach to extreme trajectory extrapolation mirrors how biological consciousness predicts future states. The data-driven simulator concept could revolutionize how AI agents learn spatial reasoning through embodied experience rather than abstract training.

Love it. I notice that the parked cars have their lights on. So it knows about parked cars, and cars having lights on at sunset, and then just connects the dots? Or is it something else?

Exactly, the lights are learned as baked-in radiance for the nighttime prompts!

realism and scalability are game changers for robot training

@vfloresb21
here's a link to the actual paper

Finally, a way to keep robots from getting lost in the virtual woods!

Hi, is there anyway I can use this on my phone to take a survey of some bushland?

Crazy tech. The implications for training robots are huge. How do they manage such detail without hallucinations?

@Melison48436887 Splats based ?

The majority of data is still out there. Its experience.

Impressive work. Generating realistic 3D environments could revolutionize robotics development and training. This could bridge the gap between simulation and real-world deployment.

Impressive work. Realistic 3D scene generation feels like a breakthrough for scalable robotics and autonomous driving research. How soon do you think this kind of data-driven simulation will start replacing large parts of traditional synthetic pipelines?

@bilawalsidhu
