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View Code? Open in Web Editor NEWCVPR 2022: https://caoang327.github.io/FWD/
CVPR 2022: https://caoang327.github.io/FWD/
Hi @Caoang327,
Thanks for your great job! I'd like to know when will you release the code. Thanks sincerely.
How were the camera parameters of the 4x downsampled DTU dataset images generated? And why aren't they used during inference? (seems like the original dtu_down4/camera.npy is used)
During training, I found that the scale_factor has a significant impact on the training results. I noticed that some other projects use a scale_factor of 200 when utilizing DTU, and I think this might represent the real scale. Therefore, I modified this parameter, but the model's performance deteriorated significantly, with the depth loss remaining above 0.8 and not decreasing. However, if I set it to default value 100, the depth loss decreases rapidly, and the model performs much better. I would like to ask if you remember this situation and if you have any suggestions on how to fix this issue.
Thanks for your work. I have a question about training on resized images. I want to train on DTU images of size (192,256), and I noticed that the DTU_Dataset code automatically handles the resizing for both image and intrinsics. However, when I resize the image, the PSNR drops to around 13 after 10000 steps of training. I'm unsure why this is happening, as I don't see any theoretical flaws that could result in this.
This is the result of 7000 steps for resized image
This is the result of 7000 steps for original size image
Do you have any clue why this is happening? Thank you!
Hi @Caoang327 , would you release the FWD-U pretrained model please?
Thanks for your great job!
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