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I would like to know how you generated figure 3 as well. render.py seems to save the completely segmented image. Where in the code are you processing the different classes in sofa/segmentations/classes.txt.
I would like to know how you generated figure 3 as well. render.py seems to save the completely segmented image. Where in the code are you processing the different classes in sofa/segmentations/classes.txt.
Hi, I'm wondering the same question, I process another dataset 'teatime' following the process.sh, and the classes.txt is not produced. Witch part is it belonging to?
I would like to query gaussians by a text for the scene in 3d_ovs dataset, like the task of Figure 3 in the paper.
Is there any interface or example code for text2gaussians for the 3d_ovs dataset? Thanks.
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