And I'm pretty sure the images are scaled properly, as I've printed the shape of the input images (torch.Size([1, 3, 364, 493])).
I trained the original scene for 30000 steps, and the rendered results are fine.
This is the edit result I get when using in2n (note how the quality deteriorate after more steps of training):
I wonder if this is normal?
I noticed in #60 where the bear scene is trained for only 2k steps and still obtained good results. Should I decrease the default setting of maximum training steps? Would you be so kind to offer some advice? Thanks!
Hi, I'm using the latest version of in2n (2c0d385) and Nerfstudio==1.1.3. I've also encountered similar issues as described in #60.
I used the following command to edit the face scene:
The camera optimizer config is as follows:
And I'm pretty sure the images are scaled properly, as I've printed the shape of the input images (torch.Size([1, 3, 364, 493])).
I trained the original scene for 30000 steps, and the rendered results are fine.
This is the edit result I get when using in2n (note how the quality deteriorate after more steps of training):
I wonder if this is normal?
I noticed in #60 where the bear scene is trained for only 2k steps and still obtained good results. Should I decrease the default setting of maximum training steps? Would you be so kind to offer some advice? Thanks!