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Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM 

VIP Lab at the University of Waterloo
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Authored by Yan Song Hu, Dayou Mao, Yuhao Chen, and John Zelek

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21 авг 2024

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Комментарии : 6   
@NicholasPellegrino
@NicholasPellegrino 24 дня назад
For the final plots showing PSNR vs training time, have you considered plotting on a log scale? It appears the main benefit is the reduced time required to reach a given PSNR. These close asymptotic tails seem to obscure this result. Also, using hours rather than seconds might be clearer 😅. Great work and Cool paper!
@eldoprano
@eldoprano 23 дня назад
Im excited for a future where you can create a splat in real time with multiple cameras 😵‍💫 might even be cool for things like autonomous driving (or instead of security cameras, you mix them into a live splat and have security angels with vr headsets flying over crouds to detect anomalies)
@eldoprano
@eldoprano 23 дня назад
Heck, military applications are also obvious here, but I don't like them :P might even be able to predict movement when out of line of sight? Like a deep 4D kalman filter @@ hoho. We are so fucked
@bethany-rp2tq
@bethany-rp2tq 15 дней назад
Can't find your paper on arXiv. Can you attach the paper link please?
@vassilisseferidis
@vassilisseferidis Месяц назад
Great work! Any plans to release the code for this?
@c016smith52
@c016smith52 Месяц назад
I hope so, code please? :) I would love to attempt something with this as well, have an idea for an app/experience that will require me to better understand and be able to implement this tools. Thanks for the demonstration!
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