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Hi @rohit7044, which scene are you testing? I reccommend trying Replica dataset; since for you the main bottleneck is scene size (number of gaussians required to represent the scene) and cached images size. I cache 64 images for Replica scenes, but some scenes e.g from mushroom can have over 600 imgs.
@rohit7044 dn-splatter needs a bit more ram than splatfacto due to storing and rendering normal maps. I can test the mip-nerf scene once I have time, and report how much ram it consumes. In the meantime, you could try a smaller scene for testing.
Wonderful project guys!! Kudos to the team!!
While running the code in windows, I got an CUDA OOM error.
I am using 6GB VRAM. Is it not enough?
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