DMFFT: improving the generation quality of diffusion models using fast Fourier transform
Abstract In this study, we demonstrate the significant development potential of diffusion U-Net extraction features transferred to the frequency domain, opening up a new perspective for diffusion models and generating a new optimization idea for diffusion model-related research. The generating quali...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-94381-8 |
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