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Spamming some input will turn T-1000 into liquid form after brutality, I'm unsure of the input but i managed to trigger it a few times. thethiny 🐰🍉 iScream Interloko

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SHAAR

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45,877 просмотров • 1 год назад •via X (Twitter)

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Ok, so, EDGS ( Let me share some testing insight about this work. Works well on front-facing video (now I know why they emphasize this), extracted a few views and matched with colmap, and trained very fast with dense initialization. If it's dense view, I tested with my existing data 290 camera poses, the training took 27 minutes on 4090. And the most annoying part is matching the poses. If you want fast, you need to have sparse input, but the sparse input cannot be easily matched with SFM. That is probably why the author put VGGT there but hasn't used it yet.

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