RANDOM POSTs
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3D Gaussian Splatting step by step beginner course
Read more: 3D Gaussian Splatting step by step beginner course
https://www.reshot.ai/3d-gaussian-splatting
what are 3D Gaussians? They are a generalization of 1D Gaussians (the bell curve) to 3D. Essentially they are ellipsoids in 3D space, with a center, a scale, a rotation, and “softened edges”.
Each 3D Gaussian is optimized along with a (viewdependant) color and opacity. When blended together, here’s the visualization of the full model, rendered from ANY angle. As you can see, 3D Gaussian Splatting captures extremely well the fuzzy and soft nature of the plush toy, something that photogrammetry-based methods struggle to do.
https://towardsdatascience.com/a-comprehensive-overview-of-gaussian-splatting-e7d570081362
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What’s invisible? More than you think by John Lloyd
Read more: What’s invisible? More than you think by John Lloyd“where are here to help others, what the others are here for, I have no idea”
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X-Dyna – Expressive Dynamic Human Image Animation
Read more: X-Dyna – Expressive Dynamic Human Image Animationhttps://x-dyna.github.io/xdyna.github.io
A novel zero-shot, diffusion-based pipeline for animating a single human image using facial expressions and body movements derived from a driving video, that generates realistic, context-aware dynamics for both the subject and the surrounding environment.
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The future of BCI and VR according to Gabe Newell from Valve Corporation
Read more: The future of BCI and VR according to Gabe Newell from Valve Corporation
– Valve is currently working on an open-source BCI software project, to interpret the signals being read from people’s brains using VR headsets.
– “If you’re a software developer in 2022 who doesn’t have one of these in your test lab, you’re making a silly mistake,”
– “The real world will seem flat, colourless, blurry compared to the experiences you’ll be able to create in people’s brains.”
– “BCIs have advanced to a point where that (VR) vertigo could be suppressed artificially, and that “it’s more of a certification issue than a scientific one”.
– Neuroplasticity is the ability of our brains to re-learn how to operate the body when something changes.
– “You can iterate software faster than a prosthetic”
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John Bruno – on realism, restraint, and adventure
Read more: John Bruno – on realism, restraint, and adventurehttp://www.theverge.com/2014/8/8/5982523/visual-effects-john-bruno-terminator-ghostbusters-interview
Who’s doing things right these days? What excites you right now?
Well, I’m prone to the work done by Weta [Digital]. The best thing I’ve seen this year is [Dawn of] the Planet of the Apes. It’s staggering. I called Joe Letteri at Weta and just said, “In the world of visual effects you are Caesar and I am but a chimp.” I swear to God I said that to him. The visual effects were so tactile, I don’t even know how to explain it. It was just immersive. That is so hard to do.
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The riddles humans can solve but AI computers cannot
Read more: The riddles humans can solve but AI computers cannothttps://www.bbc.com/future/article/20240912-what-riddles-teach-us-about-the-human-mind
“As human beings, it’s very easy for us to have common sense, and apply it at the right time and adapt it to new problems,” says Ilievski, who describes his branch of computer science as “common sense AI”. But right now, AI has a “general lack of grounding in the world”, which makes that kind of basic, flexible reasoning a struggle.
AI excels at pattern recognition, “but it tends to be worse than humans at questions that require more abstract thinking”, says Xaq Pitkow, an associate professor at Carnegie Mellon University in the US, who studies the intersection of AI and neuroscience. In many cases, though, it depends on the problem.
A bizarre truth about AI is we have no idea how it works. The same is true about the brain.
That’s why the best systems may come from a combination of AI and human work; we can play to the machine’s strengths, Ilievski says.
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