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New diffusion models enhance image super-resolution capabilities

By PulseAugur Editorial · [4 sources] ·

Researchers have developed TUDSR, a novel framework for image super-resolution that utilizes a two-stage diffusion process to achieve higher resolutions. This method addresses limitations in current diffusion models, which struggle with extreme upsampling ratios and high-resolution outputs. TUDSR, built upon SD2.1-base, demonstrates state-of-the-art performance, generating high-quality images at resolutions up to $2048^2$. Additionally, a separate paper introduces RSD, a distillation method for image super-resolution that achieves single-step restoration and competitive perceptual quality with fewer computational resources. AI

IMPACT These advancements in diffusion models for super-resolution could lead to more efficient and higher-quality image generation tools.

RANK_REASON The cluster contains two research papers detailing new methods for image super-resolution using diffusion models.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

COVERAGE [4]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution

    Diffusion-based generative models have achieved remarkable success in real-world image super-resolution (SR). With tiled diffusion techniques, these models can produce high-resolution images that exceed their native-supported resolution. However, the quality of such high-resoluti…

  2. arXiv cs.CV TIER_1 English(EN) · Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin ·

    One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

    arXiv:2503.13358v5 Announce Type: replace Abstract: Diffusion models for super-resolution (SR) produce high-quality visual results but require expensive computational costs. Despite the development of several methods to accelerate diffusion-based SR models, some (e.g., SinSR) fai…

  3. arXiv cs.CV TIER_1 English(EN) · Zhiqiang Wu, Yitong Dong, Xian Wei ·

    TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution

    arXiv:2606.09608v1 Announce Type: new Abstract: Diffusion-based generative models have achieved remarkable success in real-world image super-resolution (SR). With tiled diffusion techniques, these models can produce high-resolution images that exceed their native-supported resolu…

  4. arXiv cs.CV TIER_1 English(EN) · Xian Wei ·

    TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution

    Diffusion-based generative models have achieved remarkable success in real-world image super-resolution (SR). With tiled diffusion techniques, these models can produce high-resolution images that exceed their native-supported resolution. However, the quality of such high-resoluti…

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