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Hi, thanks for your wonderful work of video super-resolution. The test results looks really better than EDVR.
Could you give me images of test results of various algorithms in your paper ?
tha…
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### Definition of done
* Investigate the models using the [Intermediate Image Interpolation survey](https://docs.google.com/document/d/1ZeXWGhQwNsE8twqM-I-ydw-FVfPa2JuFyy3eEgD1iYQ/edit) and [Super Re…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### YOLOv8 Component
_No response_
### Bug
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Hello;
Thank you for your fantastic works in keras-cv. I want to train a super-resolution model based on diffusion to enlarge and enhance the images in my dataset. Can I use stable diffusion that y…
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Hi, I just run the following code from the README and get "RuntimeError: CUDA error: out of memory". The GPU is NVIDIA Quadro RTX 8000 with 48 GB.
`python main.py --ni --config imagenet_256.yml --doc…
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请问能提供预训练模型吗，非常感谢
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Hi, I wonder how to use my own RealSense data in this project. I use your realsense dataloader in `datasets/gradslam_datasets/realsense.py`. There are total 1777 frames, and each frame resolution is 1…
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Is it all the code for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network'? I also want to know the version of the python.
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Hi,
I am just trying to do super-resolution on an image with only downsampling along the columns. The height is same as the HR image while the width is got squeezed. How could I change the code for…
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# Overall
I am trying to use worldstrat's pretrained model for inference on images not in the dataset. It would be great to have an API that takes an area of interest and
returns a super-resolutio…