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README.md
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This model serves as the domain-specialized generative prior used in **SHARP**: *Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis*.
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## Model Summary
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- Base model: `black-forest-labs/FLUX.1-dev`
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### With SHARP
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For dynamic resolution promotion and the paper-aligned inference pipeline, use the SHARP codebase:
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```bash
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python run_sharp.py \
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This checkpoint is derived from `black-forest-labs/FLUX.1-dev`. Please follow the license and usage terms associated with the base model when using or redistributing FLUX-RS.
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This model serves as the domain-specialized generative prior used in **SHARP**: *Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis*.
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## Related Resources
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- Research paper: [SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis](https://arxiv.org/pdf/2603.21783)
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- Official SHARP GitHub repository: [bxuanz/SHARP](https://github.com/bxuanz/SHARP)
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## Model Summary
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- Base model: `black-forest-labs/FLUX.1-dev`
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### With SHARP
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For dynamic resolution promotion and the paper-aligned inference pipeline, use the official SHARP codebase:
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```bash
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python run_sharp.py \
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This checkpoint is derived from `black-forest-labs/FLUX.1-dev`. Please follow the license and usage terms associated with the base model when using or redistributing FLUX-RS.
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## Citation
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If you use FLUX-RS or SHARP in research, please cite:
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```bibtex
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@misc{zhao2026sharpspectrumawarehighlydynamicadaptation,
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title={SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis},
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author={Bingxuan Zhao and Qing Zhou and Chuang Yang and Qi Wang},
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year={2026},
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eprint={2603.21783},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2603.21783},
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}
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```
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