2023
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
CVPR 2023poster
Existing dehazing approaches struggle to process real-world hazy images owing to the lack of paired real data and robust priors. In this work, we present a new paradigm for real image dehazing from the perspectives of synthesizing more realistic hazy data and introducing more robust priors into the…