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Description
Dear Author,
Thank you for your great work. While using your model, I encountered the following issue:
In real-world applications, we often need to process images of various resolutions. The current approach forces all inputs to be cropped to a fixed aspect ratio, which results in significant loss for portrait-oriented images (where width < height).
I tried padding the edges to match the target resolution, then cropping afterward, but this drastically reduces the effective resolution of the main subject. Another workaround is rotating the image by 90°, processing it, and then rotating it back. However, I noticed that the model handles d_theta and d_phi differently—d_theta seems to perform much better.
Could you confirm whether future updates will support flexible resolution handling? Looking forward to your insights.