AI RESEARCH
GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution
arXiv CS.CV
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ArXi:2603.16769v1 Announce Type: new Recently, reinforcement learning (RL) has been employed for improving generative image super-resolution (ISR) performance. However, the current efforts are focused on multi-step generative ISR, while one-step generative ISR remains underexplored due to its limited stochasticity.