FoA-SR trains separate Faithful and Aesthetic LoRA adapters by ranking a shared stochastic candidate pool with profile-specific rewards after initial supervised Flux2SR training.
Efficient long-range attention network for image super-resolution, 2022
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FoA-SR: Faithful or Aesthetic? Profile-Aware Preference Optimization for Real-World Image Super-Resolution
FoA-SR trains separate Faithful and Aesthetic LoRA adapters by ranking a shared stochastic candidate pool with profile-specific rewards after initial supervised Flux2SR training.