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This work is worth researching and provides new thinking for image fusion tasks. However, I have a question about the image size: When I ran the Sample.py, it scaled the image size to a multiple of 32. Can't it make inputs in any size? I may need help understanding the denoising diffusion model and would like your answer.
The text was updated successfully, but these errors were encountered:
This work is worth researching and provides new thinking for image fusion tasks. However, I have a question about the image size: When I ran the Sample.py, it scaled the image size to a multiple of 32. Can't it make inputs in any size? I may need help understanding the denoising diffusion model and would like your answer.
This work is worth researching and provides new thinking for image fusion tasks. However, I have a question about the image size: When I ran the Sample.py, it scaled the image size to a multiple of 32. Can't it make inputs in any size? I may need help understanding the denoising diffusion model and would like your answer.
The text was updated successfully, but these errors were encountered: