MVSNet_pytorch
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Depth refinement
Hi there,
great work! Is there any reason why you exclude the depth refinement from the evaluation?
Regards
I didn't try with depth refinement, but I think you can try to see the difference.
I had to modify some stuff, but i trains now.
Hi,during training process ,the output depth size is 1/4 of input image,the depth refinement module neet concat depth map and input image, so how to use depth refinement module? Upsample depth size or downsample image to keep the same size?
@wenmingMeng i think downsample image to keep the same size
Hello, @urbste Have you tried with depth refinement? From the original MVSNet paper, the refinement network only slightly improves the evaluation results. i.e. from 75.58 to 75.69(<1mm f-score)
es the evaluation results. i.e. from 75.58 t
i think refinement module is useless。