My man is the "-est" in goat not enough

This paper is the new tupac

'Goat' is such poor English, it should be 'GAT' but of course that would be to say there will never be better so its better to say its the 'Greatest Algorithm Yet!' Yeah, 'GAY', that'd suit millennials better.

This is the paper of all time

What's the difference?

For as cool and magical as neural networks are, there's just so much more you can do when you actually understand what the algorithm is doing

yes, because people are tired of inconsistency, daydreaming result, gaslighted, or just blatantly wrong. this on the other hand produce much consistent result and could be improved further

Yeah, neural networks/ai are great but are being used for everything now… even when it’s unnecessary or a good ol’ algorithm would be enough.

@@jensenraylight8011 .. Not saying that people are not tired of the things You enumerate. But I would like to point out that neither Neural networks or other similar "methods/algorithms", nor their creators, are "gaslighting" or "lying" to anyone by creating their "methods/algorithms". Rather it's the people using the results of these "methods/algorithms" that might be using them for that purpose. But that doesn't, tie this "negative activity" to any inherently quality or property of the "methods/algorithms" used. Rather the "method/algorithms" used are only chosen due to their perceived efficacy and/or quality of their results. And that being the case if we create better algorithms "by hand" then those will be used instead, for all the "negative activities" You just mentioned. E.g. If I choose use a "program" to create a realistic picture of a well known politician in the act of a "heinous act". And I then use the resulting image to spread misinformation. It makes NO DIFFERENCE WHAT SO EVER whether the "program" I used is built on an "A.I.-based" or a "completely hand crafted" algorithm. Imho the "underlying origin" of the "method/algorithm" is a total non sequitur in this context. It's simply the "perceived quality" of results that will dictate the choice, and if the "hand crafted algorithms" are "better" then these will used, for good and ill purposes alike. Best regards.

Wtf stop this scam shit in my comment section

But this one side-steps and leapfrogs all the AI ones?

give it some years more^^

It'll happen in your lifetime guaranteed. The technology improvement are still exponential which is crazy to me.

i give it 5 years@@AdiusOmega

​@@minheritancethere's a gaussian plugin for unreal now, so this could be done today

It's human-made tools either way.

How does that prove it?

@@AlvaroALorite Because it's superior to the neural net models.

I mean, it's still an evolution of NERF. They just figured out what was in the black box reasoning that NERF was doing. This is the real strength of neural networks: not offloading reasoning onto machines, but creating alternative paths toward conclusions that can then be studied and developed into theory.

@@michaelleue7594great view

Similar to removing noise from astral photography, we've been able to recover fine details/structures from videos that didn't appear to have them based on just the raw resolution. Just because you or the researchers in these fields are ignorant to something doesn't mean it hasn't existed for many years. I've improved open NeRF models by adding in steps to include gaussian/eulerian amplification/magnification. It's really a simple fix and should have been picked up years ago. It baffles me that it's been such a problem for so long that they just can't seem to figure out.

BOOM!

2 decades at least

@@lawsen3719 2 years you mean whenever it can be rendered real time.

@@Andytlp Realtime is 30-60fps. They showed here 135 fps..

@@jenkem4464 Would be one way to get hyper realistic graphics. Fps seems good and runs real time huh. What are the requirements though?

At least It seems to be very compressible.

Thank you 🎉

Currently it can not but maybe in the near future - it will be a game changer.

Does it have to?

I hope videogames start using this tech instead of meshes, or a mix of both 🤔

It’s an interesting question whether this replaces mesh objects. I could see it going in a hybrid direction.

The regular NeRF can be converted to meshes via methods such as the marching cubes, so I guess the same can be done with this one. This method is terrible for anything that isn't a solid smooth object but there are probably others.

How practical is a photograph? Well, now we have 3D photographs. With the modern developments in virtual reality in particular I think we will find ourselves able to experience "photos" much more immersively in the near future. It could change how films are shot. It could even be used in making truly photorealistic videogames. It's really up to the creative people of the world how far we can take advancements in media technology like this.

It makes a full 3D rendering of the scene, which gives computers the ability to understand 3D geometry from 2D inputs. Off the top of my head, this gives a few immediate use cases: 1. It allows you to take a few photos of a location, then set up and experiment with virtual cameras in the scene in post, which could be invaluable for video/film creation. Especially to get shots that would be impractical or even impossible to do with physical cameras. 2. LERFs embed semantic information into a NeRF scene, but I think a similar technique may work for Splatting as well. This allows natural-language queries to return segmentation within the 3D scene. To put that into perspective, if we could do this in real time (currently, LERFs take 45 minutes to generate a single scene, but I don't know how much faster it'd be applied to a Splat scene), a robot could use a single camera, take a brief look around its environment, and in real-time it could understand not only the full 3D geometry around it (for things like motion planning, etc.) but also the semantic nature of *everything around it.* So imagine telling a robot that's never seen your living room before "please clean my silver-framed movie poster", and after just a few seconds of looking around the room, it immediately is able to navigate all your furniture and obstacles, make its way to the poster (which it also autonomously recognized the nature and location of), and start cleaning it. It's Rosie from the Jetsons levels of robotic comprehension and autonomy.

​@@Faizan29353keyword "actual" - stable immersive media that looks (practically) indistinguishable from reality

I think it popped up on screen that it was on an A600 which as I understand it, is kinda supercomputer levels.

id be interested to know this too. it seems like a near perfect form of photogrammetry.

Or he's just Austrian and has a different cadence when speaking English... lol

Its almost never mentioned in his videos unfortunately. Love the channel, but wish these factors were not just glossed over as an afterthought so often.