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

ArXi:2606.05071v1 Announce Type: new 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 generative nature and efficiency because of its iterative sampling process. In this work, we propose an efficient and fidelity-preserving retouching method using bilateral space manipulation, which is both compact and content-decoupled.