Comments (4)
This is expected. For example, the top right region is never revealed in the video. So we have to count on the single image completion. The current image completion is trained for inpainting, so it will perform poorly on image outpainting. Hope this helps.
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@gaochen315 also artifacts are present with or without --seamless
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@gaochen315 any update on this?
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@gaochen315 ok thanks
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Related Issues (20)
- ' --Nonlocal ' in video_completion.py results in error HOT 2
- Object removal task evaluation code HOT 3
- RuntimeError: Error keeps saying "to have 3 channels, but got 4 channels instead" HOT 1
- The implementation of the homography warp before optical flow calculation HOT 4
- Inpainting doesn't seem to clean up intermediary files HOT 2
- server for weights.zip and data.zip seems unreachable HOT 5
- 对于较少背景移动时,去除文字水印,会出现填充拖影问题 HOT 1
- How can I train a new model on a different dataset? HOT 4
- Same problem result of '--Nonlocal' (as issue #52) HOT 2
- Where can I read about all those parameters such as edge guide, mixed precisions and so on? HOT 1
- Code Error in non-local optical flow concatenation HOT 1
- RAFT Model HOT 1
- edge_guide flag HOT 1
- test question HOT 2
- Inference is not as accurate as the provided video samples HOT 4
- Evaluation Metrics HOT 2
- code question
- How to train the network? HOT 1
- Please Large FOV colab
- Dependencies can't be installed in colab
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