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FireRed-Image-Edit advances instruction-based image editing with large-scale training

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced FireRed-Image-Edit, a diffusion transformer model designed for instruction-based image editing. The model leverages a massive 1.6 billion sample training corpus, meticulously curated and filtered to over 100 million high-quality pairs for both image generation and editing tasks. FireRed-Image-Edit employs a multi-stage training pipeline and introduces novel techniques for data efficiency and optimization, including Asymmetric Gradient Optimization and a differentiable Consistency Loss. Its performance is validated on the newly established REDEdit-Bench, a benchmark covering 15 editing categories, where it demonstrates competitive results against existing systems. AI

IMPACT Introduces a new benchmark and model for instruction-based image editing, potentially improving performance and offering new evaluation standards.

RANK_REASON The cluster describes a technical report detailing a new model and benchmark published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

FireRed-Image-Edit advances instruction-based image editing with large-scale training

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The cluster describes a technical report detailing a new model and benchmark published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Super Intelligence Team, Changhao Qiao, Chao Hui, Chen Li, Cunzheng Wang, Dejia Song, Jiale Zhang, Jing Li, Qiang Xiang, Runqi Wang, Shuang Sun, Wei Zhu, Xu Tang, Yao Hu, Yibo Chen, Yuhao Huang, Yuxuan Duan, Zhiyi Chen, Ziyuan Guo ·

    FireRed-Image-Edit-1.0 Technical Report

    arXiv:2602.13344v2 Announce Type: replace Abstract: We present FireRed-Image-Edit, a diffusion transformer for instruction-based image editing that achieves state-of-the-art performance through systematic optimization of data curation, training methodology, and evaluation design.…

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