5 ms·
"The average speed is 36 FPS (tested on A100)." Real-Time if you have $8k I guess.
by chpatrick 3y ago
"The average speed is 36 FPS (tested on A100)."
Real-Time if you have $8k I guess.
- RicoElectrico 3y ago"Two more papers down the line..." ;)
- Fauntleroy 3y agoIndeed, this very much looks like what we'll likely see from Google Earth within a decade—or perhaps half that.
- mortenjorck 3y agoI’ve seen very impressive Gaussian splatting demos of more limited urban geographies (a few city blocks) running on consumer hardware, so the reason this requires research-tier Nvidia hardware right now is probably down to LOD streaming. More optimization on that front, and this could plausibly come to Google Earth on current devices. “What a time to be alive” indeed!
- xyproto 3y ago2 years tops, since the technology is there, it would be a considerable improvement to Google Maps, and Google has the required resources.
- rallyforthesun 3y agoAs it seems the first 3DGS which uses Lods and blocks, there might be place for optimization. This might become useful for use cases in Virtual Production, probably not for mobiles.
- jsheard 3y agoGood ol' "SIGGRAPH realtime", when a graphics paper describes itself as achieving realtime speeds you always have to double check that they mean actually realtime and not "640x480 at 20fps on the most expensive hardware money can buy". Anything can be realtime if you set the bar low enough.
- phkahler 3y ago>> Anything can be realtime if you set the bar low enough. I was doing "realtime ray tracing" on Pentium class computers in the 1990s. I took my toy ray tracer and made an OLE control and put it inside a small Visual Basic app which handled keypress-navigation. It could run in a tiny little window (size of a large icon) at reasonable frame rates. Might even say it was using Visual Basic! So yeah "realtime" needs some qualifiers ;-)
- TeMPOraL 3y agoFair, but today it could probably run 30FPS full-screen at 2K resolution, without any special effort, on an average consumer-grade machine; better if ported to take advantage of the GPU. Moore's law may be dead in general, but computing power still increases (notwithstanding the software bloat that makes it seem otherwise), and it's still something to count on wrt. bleeding edge research demos.
- cchance 3y agoI mean A100's were cutting edge a year or so ago now we're at what H200 and B200 or is it 300's like it may be a year or 2 more but the A100 speed will trickle down to the average consumer as well.
- TeMPOraL 3y agoAnd, from the other end, research demonstrations tend to have a lot of low-hanging fruits wrt. optimization, which will get picked if the result is interesting enough.
- oivey 3y agoDepending on what you’re doing, that really isn’t a low bar. Saying you can get decent performance on any hardware is the first step.
- deleted 3y ago[deleted]
- mywittyname 3y agoPresumably, this is can be used as the first stage in a pipeline. Take the models and textures generated from source data using this, cached it, and stream that data to clients for local rendering. Consumer GPUs are probably 2-3 generations out from being as capable as an A100.
- Legend2440 3y agoThere are no models or textures, it's just a point cloud of color blobs. You can convert it to a mesh, but in the process you'd lose the quality and realism that makes it interesting.
- littlestymaar 3y agoI chuckled a bit too when I saw it. By the way, what's the compute power difference between an A100 and a 4090?
- entropicdrifter 3y ago4090 is faster in terms of compute, but the A100 has 40GB of VRAM.
- enlyth 3y agoI believe the main advantage of the A100 is the memory bandwidth. Computationally the 4090 has a higher clock speed and more CUDA cores, so in that way it is faster. So for this specific application it really depends on where the bottleneck is
- pierotofy 3y agoA lot of 3DGS/Nerf research is like this unfortunately (ugh). Check https://github.com/pierotofy/OpenSplat https://github.com/pierotofy/OpenSplat for something you can run on your 10 year old laptop, even without a GPU! (I'm the author)
- somethingsome 3y agoI know, I don't get the fuzz either, I've coded real-time gaussian splat renderers >7 years ago with LOD and they were able to show any kind of point cloud. They worked with a basic 970 GTX on a big 3d screen and also on oculus dk2.
- kookamamie 3y agoIt's the old story of a an outsider group (AI researchers, in this case) re-inventing the wheel discovered ages ago by experts of the domain.
- m463 3y agootoh I remember those old GPU benchmarks that ran at 10 fps when they came out, then over time... https://www.techpowerup.com/forums/attachments/all-cards-png.325351/ https://www.techpowerup.com/forums/attachments/all-cards-png...
- datascienced 3y agoJust wait 2 years it’ll be on your phone.
- anigbrowl 3y agoYou gotta start somewhere
- aurareturn 3y agoI'm going to guess that the next-gen consumer GPU (5090) will be twice as fast as A100 and will not cost $8k. So I don't know see an insurmountable problem.
- diggan 3y agoNo, not unless Nvidia is thinking about financial suicide. The current split between "pro" and "consumer" isn't because it was impossible to avoid, it's because Nvidia is doing market segmentation in order to extract more money from the pro segment.