# Video Refinement

The work presents SoL-Refiner, a one-step video refiner that turns low-resolution generator outputs into 4K video through a three-stage recipe of high-resolution continual training, reinforcement-learning post-training with frame-based reward models, and final one-step distillation, and introduces Refiner-Bench, a video refinement benchmark using a shared-input protocol to compare refiners at roughly 2K output resolution; at 2K the one-step model outperforms all evaluated external refiners on VBench and UniPercept averages, at 3840×2176 it improves both metrics over the three-step LTX-2.3 Refiner, and with the complete acceleration stack it achieves an 8.91× speedup in refinement latency over the same baseline in the 2K latency setting.

The work presents SoL-Refiner, a one-step video refiner that turns low-resolution generator outputs into 4K video through a three-stage recipe of high-resolution continual training, reinforcement-learning post-training with frame-based reward models, and final one-step distillation, and introduces Refiner-Bench, a video refinement benchmark using a shared-input protocol to compare refiners at roughly 2K output resolution; at 2K the one-step model outperforms all evaluated external refiners on VBench and UniPercept averages, at 3840×2176 it improves both metrics over the three-step LTX-2.3 Refiner, and with the complete acceleration stack it achieves an 8.91× speedup in refinement latency over the same baseline in the 2K latency setting.