Papers › Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution

4 Apr 2023arXiv:2304.01994archive 2025-07-28

Brian Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

This paper presents a novel Diffusion-Wavelet (DiWa) approach for Single-Image Super-Resolution (SISR). It leverages the strengths of Denoising Diffusion Probabilistic Models (DDPMs) and Discrete Wavelet Transformation (DWT). By enabling DDPMs to operate in the DWT domain, our DDPM models effectively hallucinate high-frequency information for super-resolved images on the wavelet spectrum, resulting in high-quality and detailed reconstructions in image space. Quantitatively, we outperform state-of-the-art diffusion-based SISR methods, namely SR3 and SRDiff, regarding PSNR, SSIM, and LPIPS on both face (8x scaling) and general (4x scaling) SR benchmarks. Meanwhile, using DWT enabled us to use fewer parameters than the compared models: 92M parameters instead of 550M compared to SR3 and 9.3M instead of 12M compared to SRDiff. Additionally, our method outperforms other state-of-the-art generative methods on classical general SR datasets while saving inference time. Finally, our work highlights its potential for various applications.

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Code

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calculate_psnr brian-moser/diwa/core/metrics.py official repository ran fingerprinted Apache-2.0 (permissive) · 9394ff2c25b8a988 · report
default brian-moser/diwa/model/ddpm_modules/diffusion.py official repository ran · violated contract Apache-2.0 (permissive) · fbf9ec7be545688e · report
dict2str brian-moser/diwa/core/logger.py official repository ran · our draft was wrong Apache-2.0 (permissive) · 40c52ad98161c17b · report
dict_to_nonedict brian-moser/diwa/core/logger.py official repository ran · our draft was wrong Apache-2.0 (permissive) · ada7273eee7081c7 · report
exists brian-moser/diwa/model/ddpm_modules/diffusion.py official repository ran · violated contract Apache-2.0 (permissive) · 608e364a9d2376a3 · report
make_beta_schedule brian-moser/diwa/model/ddpm_modules/diffusion.py official repository ran · honoured contract Apache-2.0 (permissive) · 90be2f67f3d453d7 · report
ssim brian-moser/diwa/core/metrics.py official repository ran fingerprinted Apache-2.0 (permissive) · ba721aeacc165234 · report
tensor2img brian-moser/diwa/core/metrics.py official repository ran Apache-2.0 (permissive) · 34c878feb7966d4c · report
define_G brian-moser/diwa/model/networks.py official repository unverified Apache-2.0 (permissive) · a75ea97f82c116f9 · report
parse brian-moser/diwa/core/logger.py official repository unverified Apache-2.0 (permissive) · 27e812d0b0c57e37 · report

Tasks

DenoisingImage Super-ResolutionSSIMSuper-Resolution

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Super-Resolution CelebA-HQ 128x128 DiWa PSNR 23.34 #3 of 4 Archive leaderboard report
Image Super-Resolution CelebA-HQ 128x128 DiWa SSIM 0.67 #3 of 4 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Diffusion

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