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InstantRetouch paper details efficient, high-fidelity image editing

Researchers have developed InstantRetouch, a novel method for instruction-guided image retouching that prioritizes both fidelity and efficiency. This approach utilizes a low-resolution bilateral grid of affine transforms, guided by a learned map and distilled from a diffusion model, to edit images. InstantRetouch aims to overcome the content drift and slow sampling times associated with diffusion-based methods, offering faster processing while maintaining high visual quality and accurate instruction following. AI

IMPACT Introduces a new technique for efficient and high-fidelity image editing, potentially improving user experience in creative applications.

RANK_REASON This is a research paper detailing a new method for image retouching. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiarui Wu, Yujin Wang, Ruikang Li, Fan Zhang, Mingde Yao, Tianfan Xue ·

    InstantRetouch: Efficient and High-Fidelity Instruction-Guided Image Retouching with Bilateral Space

    arXiv:2606.05071v1 Announce Type: new Abstract: Language-guided photo retouching aims to adjust color and tone while preserving geometry and texture. Recently, diffusion-based retouching shows a superior visual quality, but often struggles with both fidelity issues due to its gen…