Comments (3)
Hi all, thanks for your interest. To answer your questions,
The double_size case was trained with the mask where the hole region is filled with the value 0.5, and non-hole regions with 1.0. There is no special reason behind this choice.
About the fixed-size hole, your results look reasonable and I can reproduce that on the bear video.
My understanding on this result are based on these points:
- VINet can be divided into 1) an image-level encoder-decoder network, and 2) additional reference encoders that support the target frame inpainting.
- 1 performs the standard image inpainting and is supposed to be able to "hallucinate" on the never visible region.
- 2 performs "copy-and-paste" from neighbor frames onto the target frame hole region.
- While VINet is supposed to be good at both, the empirical results imply that training did not balance well between the both, and mainly focused on "copy-and-paste" learning. This would have led to poor "hallucination" performance and thus blurry results with fixed holes.
from deep-video-inpainting.
Could you tell me how to change the size of output image?
when I changed the size of input image directly, I got this error.
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 32 and 64 in dimension 3 at /opt/conda/conda-bld/pytorch_1525909934016/work/aten/src/THC/generic/THCTensorMath.cu:111
if I resize the output image, then the image will get very blurred.
Thanks for your time!
from deep-video-inpainting.
Yeah, I too noticed the blurry part while running the code with Bear video.
I would be really grateful if you could clarify my doubt 😅. From my understanding, the known pixels from the previous and future frames are filled, but how blind spot pixels are filled? (Eg. A trashcan in the same place throughout the video, If the trashcan has to be removed how it's pixels will be filled?)
from deep-video-inpainting.
Related Issues (20)
- Is there any way to install the project without cuda and gpu ? HOT 2
- demo_vi.py SEGMENTATION FAULT HOT 1
- Can batch size only be set to 1 when you train? HOT 1
- could you please tell me version of cuda and cudnn? HOT 1
- Loss function ssim is run in the whole picture or just the masked area? HOT 1
- not working for fixed region inpainting
- Results on Davis
- demo txt missing HOT 1
- Source code for Space time cubic puzzles
- 2 questions about the codes HOT 1
- how to train the model without using pretrained path HOT 1
- have a problem when bash install.sh HOT 4
- Some problem in training HOT 1
- readme.md tutorial, how to request HOT 3
- Multiplication factor of 5 in the loss function of train_git.py
- Custom video
- Will we release the entire training code?
- I have a problem with install.sh HOT 1
- about the evaluation index is low
- Training Code
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from deep-video-inpainting.