3D Scanning and Gaussian Splats at GTC2024

  Рет қаралды 1,290

XGRIDS

XGRIDS

3 ай бұрын

Using slam-based 3d gaussian splatting, we swiftly scanned the bustling main entrance square. With our #ai algorithm, we removed dynamic elements, delivering a stunning 3DGS model for immersive exploration.
The #Lixel scanner helps a lot in reality capture efficiently as well as quality of the visualization result. That's what combination of Liadar and visual slam can do to improve.

Пікірлер: 7
@grofilms621
@grofilms621 3 ай бұрын
Awesome
@tamiopaulalezon9573
@tamiopaulalezon9573 2 ай бұрын
what camera did you use?
@XGRIDS
@XGRIDS 2 ай бұрын
We use Lixel series mobile scanner
@user-hd9le6fq9r
@user-hd9le6fq9r 3 ай бұрын
Is it convenient to talk about the size of your data set and the configuration of the machine used for training? Besides images, what data is involved in gaussian_splatting training?
@TheoEngelbrecht
@TheoEngelbrecht 3 ай бұрын
I have been fooling around with Gaussian Splats, it needs a LOT of Video memory to train, it failed on a 1080ti and that was a small dataset of just 300 photos for instance, so unless they can make it a bit more efficient, its a new tech so there's a lot to iron out.
@XGRIDS
@XGRIDS 3 ай бұрын
For example to make it clear, this GTC site takes us 5min to scan and 100min to get the splats. And it's 637M. Besides images, the scanner we used combime Lidar with visual slam. So that we capture the site by mobile scanning efficiently. And the quality can be improved a lot by lidar's help. As for configuration, 3060 above is highly recommanded, and at least 2080 could be adopted.
@DroneSlingers
@DroneSlingers 3 ай бұрын
@@TheoEngelbrechtI use the ShadowPC power tier and a program called PostShot and tho it does use a lot of its memory I've never had much issues doing anything while it was running and building. Tho it does take some models a few hours to fully clean up
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