The Ledger
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Rombach: Pre-trained video models learn 3D synthesis faster than image models
“We showed that it's actually like helpful to incorporate like this implicit three D knowledge that Knowledge that is captured in all of the videos into the model, and then the model can learn much quicker than if you start from the pure image model.”
Rombach: AI video generation will evolve into real-time interactive experiences
“Because then this will become more like, I don't know, sometimes I think about this as like a video game, right? You type your prompt, and you immediately see what happens given your input view, and I think this might be a super nice user experience, actually.”
Diamandis: Emad Mostaque is running a countrywide AI education experiment in Malawi
“And by the way, you might as working on that right now, right? He's looking to provide every child in the nation of Malawi, a countrywide experiment.”
Rombach: Stability AI distillation research enables single-step diffusion generation
“We ourselves, we have published a distillation work a week ago that actually shows that you can go as low as one sampling step, which is, I would say like a big advantage of these diffusion models.”
Rombach: Managing hundreds of LoRAs is unscalable for video control
“Maintaining like a library of hundreds of LoRa's is maybe not like the, Most scalable approach.”
Blattman: Stable Video Diffusion acquired 3D reasoning within 2,000 iterations
“We showed that by our three D fine tuning. This was, by the way, this was completely surprising for me seeing that model after a 1002 thousand iterations, like already getting what is like, three D reasoning or like explicit three D reasoning.”