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RESEARCH
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Game Engine and Diffusion Model Hybrid for Video Generation
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i thought it was a hybrid, a game engine creates the camera controlled low-res, and a diffusion model upscales it (and produces the weird stuff).
camera rotations and translations are so notoriously hard in video-gen, that I thought some runtime trick was a great way to shortcut -
Prototype Resolution Scaling Techniques for AI Model Optimization
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Also, I believe there is an entire world of proto results leading to better outcomes that we haven't even started to explore, like when they are saying they can prototype at smaller resolutions and then upscale to a higher one. I can see how we could apply this same concept to
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Sora Paper Insights: Aspect Ratios and Captioning in Diffusion Models
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Lots of valuable nuggets in the Sora paper, but a few things stood out for me.
— Pietro Schirano (@skirano) 16 février 2024
– Training with different aspect ratios improves output quality for diffusion models (we suspected this for a while but it's nice to have confirmation).
– Better captioning leads to more diverse and… pic.twitter.com/CvORNbUdxJLots of valuable nuggets in the Sora paper, but a few things stood out for me. – Training with different aspect ratios improves output quality for diffusion models (we suspected this for a while but it's nice to have confirmation). – Better captioning leads to more diverse and
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Magic raises $117M for frontier AI code models toward AGI
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Magic announced a $117M raise led by former Github CEO Nat Friedman. The company is building frontier-scale AI code models, seeking to build an ‘AI software engineer’ on the path towards AGI.
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Meta’s V-JEPA Model Predicts Video Content with Limited Information
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Meta released V-JEPA, a new learning model for AI to understand and predict what is going on in a video, even with limited information. It learns by predicting missing or obscured parts of a video in its internal feature space.
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Major AI Breakthroughs: OpenAI, Google, Meta Dominate News
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Historic day in AI. First, OpenAI changed the AI video world and Google made enormous progress in LLM capabilities. Then we saw huge developments from Meta, Slack, CodeSignal, X/Grok, Microsoft, University of Michigan, LangChain, and Magic. Here's EVERYTHING you need to know:
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Sora Achieves World Simulation Through Zero-Shot Prompting
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> Sora can simultaneously control the player … while also rendering the world and its dynamics … can be elicited zero-shot by prompting. literally world simulation
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Game Engines for Data Generation, Diffusion Models for Inference
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several people have pointed out that it's a lot more plausible that the data is generated using a game engine, but inference is likely just a diffusion model. that probably makes more sense.