SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing

         

SmartPhotoCrafter is an end-to-end framework for automatic photographic image editing that reformulates traditional editing as a closed-loop reasoning-to-generation process. Unlike prior methods that rely on explicit user instructions, our approach autonomously identifies aesthetic deficiencies, reasons about improvement strategies, and performs targeted edits without human prompts.

✨ Highlights

• Fully Automatic Editing – No user instructions or parameters required; the model completes the closed loop of quality assessment → reasoning → editing autonomously.
• Dual Capability – Supports both image restoration (denoising, deblurring, low-light enhancement) and image retouching (color, tone, contrast enhancement).
• Aesthetic Reasoning – Explicitly generates image quality analysis and editing suggestions, improving interpretability.
• High-Fidelity Generation – Preserves original content structure while delivering photo-realistic outputs with high tonal/color semantic sensitivity.
• Reinforcement Learning Optimization – Jointly optimizes reasoning and generation modules, aligning editing trajectories with human aesthetic preferences.

🖼️ Demo

🖼️ Demo Video

⭐ Code and Usage

The official code and model are available at the following GitHub repository: https://github.com/vivoCameraResearch/SmartPhotoCrafter

📜 License

All the materials, including code, checkpoints, and demos, are made available under the Creative Commons BY-NC-SA 4.0 license. You are free to copy, redistribute, remix, transform, and build upon the project for non-commercial purposes, as long as you give appropriate credit and distribute your contributions under the same license.

🎓 Citation

@article{zeng2026smartphotocrafter,
  title={SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing},
  author={Zeng, Ying and Luo, Miaosen and Li, Guangyuan and Yang, Yang and Fan, Ruiyang and Shi, Linxiao and Yang, Qirui and Zhang, Jian and Liu, Chengcheng and Zheng, Siming and others},
  journal={arXiv preprint arXiv:2604.19587},
  year={2026}
}