qingjiu151/SNR-Bench

SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing

Lifan Jiang   Boxi Wu   Yuhang Pei   Tianrun Wu  
Yongyuan Chen   Yan Zhao   Shiyu Yu   Deng Cai

State Key Lab of CAD&CG, Zhejiang University

Submitted to ACM MM 2026

     

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🚧 Coming Soon

SNR-Bench comprises 80 high-quality image-editing cases. Approximately 50% are sampled from PIE-Bench to ensure continuity with standard benchmarks, and the remaining 50% are collected from the web to introduce richer textures and more complex real-world scenes. We cover four editing operations: adjust, change, remove, and add. To minimize ambiguity and improve instruction consistency, all editing instructions for the non--PIE-Bench subset are manually written, refined, and verified through human annotation.

The dataset is currently being prepared and will be released soon.

This repository contains the SNR-Bench dataset used in the paper SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing.

📌 Citation

If you find this dataset helpful, please consider citing:

@misc{jiang2026snreditstructureawarenoiserectification,
      title={SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing}, 
      author={Lifan Jiang and Boxi Wu and Yuhang Pei and Tianrun Wu and Yongyuan Chen and Yan Zhao and Shiyu Yu and Deng Cai},
      year={2026},
      eprint={2601.19180},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2601.19180}, 
}