Efficient Burst Super-Resolution with One-step Diffusion
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909694742757376 |
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| author | Kawai, Kento Oba, Takeru Tokoro, Kyotaro Akita, Kazutoshi Ukita, Norimichi |
| author_facet | Kawai, Kento Oba, Takeru Tokoro, Kyotaro Akita, Kazutoshi Ukita, Norimichi |
| contents | While burst Low-Resolution (LR) images are useful for improving their Super Resolution (SR) image compared to a single LR image, prior burst SR methods are trained in a deterministic manner, which produces a blurry SR image. Since such blurry images are perceptually degraded, we aim to reconstruct sharp and high-fidelity SR images by a diffusion model. Our method improves the efficiency of the diffusion model with a stochastic sampler with a high-order ODE as well as one-step diffusion using knowledge distillation. Our experimental results demonstrate that our method can reduce the runtime to 1.6 % of its baseline while maintaining the SR quality measured based on image distortion and perceptual quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_13607 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Burst Super-Resolution with One-step Diffusion Kawai, Kento Oba, Takeru Tokoro, Kyotaro Akita, Kazutoshi Ukita, Norimichi Computer Vision and Pattern Recognition While burst Low-Resolution (LR) images are useful for improving their Super Resolution (SR) image compared to a single LR image, prior burst SR methods are trained in a deterministic manner, which produces a blurry SR image. Since such blurry images are perceptually degraded, we aim to reconstruct sharp and high-fidelity SR images by a diffusion model. Our method improves the efficiency of the diffusion model with a stochastic sampler with a high-order ODE as well as one-step diffusion using knowledge distillation. Our experimental results demonstrate that our method can reduce the runtime to 1.6 % of its baseline while maintaining the SR quality measured based on image distortion and perceptual quality. |
| title | Efficient Burst Super-Resolution with One-step Diffusion |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2507.13607 |