Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models

Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models explores A novel framework for real-world image restoration that leverages test-time scaling with flow matching models to achieve state-of-the-art performance.. Commercial viability score: 7/10 in Image Restoration.