FinPercep-RM with co-evolutionary curriculum learning stabilizes RL training for real-world image super-resolution by supplying local degradation feedback and reducing reward hacking.
Segmenting and under- standing: Region-aware semantic attention for fine-grained image quality assessment with large language models
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FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution
FinPercep-RM with co-evolutionary curriculum learning stabilizes RL training for real-world image super-resolution by supplying local degradation feedback and reducing reward hacking.