PRISM proposes a physically structured PSAR framework with non-uniform haze synthesis and selective self-distillation adaptation to achieve state-of-the-art real-world image dehazing.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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PRISM: Rethinking Scattered Atmosphere Reconstruction as a Unified Understanding and Generation Model for Real-world Dehazing
PRISM proposes a physically structured PSAR framework with non-uniform haze synthesis and selective self-distillation adaptation to achieve state-of-the-art real-world image dehazing.