AI RESEARCH
Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution
arXiv CS.CV
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ArXi:2604.24136v1 Announce Type: new Pretrained diffusion models have revolutionized real-world image super-resolution (Real-ISR) but suffer from computational bottlenecks due to iterative sampling. Recent single-step distillation accelerates inference but faces a stark perception-distortion trade-off due to rigid timestep initialization, distributional trajectory mismatches, and fragile stochastic modulation.