3 checkpoint and apply a three-stage recipe: high-resolution continual training on paired videos, RL post-training with frame-based reward models, and a final one-step distillation using a projected DiT discriminator.
One-step video refiner achieves 8.91x speedup for 4K upscaling
SoL-Refiner uses a three-stage training recipe to refine low-resolution video to 2K/4K in a single denoising step, outperforming multi-step refiners on perceptual quality metrics.
Big Tech
Haozhe Liu · Tian Ye · Shuchen Xue · Yitong Li · Junsong Chen · Haopeng Li · +6 more
NVIDIA
Research Digest··2 min read
SoL-Refiner is a one-step video refiner that takes low-resolution outputs from various generators and produces high-resolution videos (up to 4K) with a single denoising step.
Why this paper
From NVIDIA
In one line
SoL-Refiner transforms low-resolution video outputs into 4K videos with a single denoising step, outperforming multi-step refiners.
What we could check
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- ✓Reports numbers on named benchmarks (2 benchmarks)
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