[r/ML] [D] On-Device Real-Time Visibility Restoration: Deterministic CV vs. Quantized ML Models. Looking for insights on Edge Preservation vs. Latency.

Summary

A team has developed an iOS real-time camera engine that uses deterministic Computer Vision to remove atmospheric interference like smog and rain, achieving 1080p 30fps with zero latency and high edge preservation on the CPU. They are now seeking insights on implementing an optional ML-based engine, specifically comparing quantized models like U-Net or MobileNet via CoreML, to evaluate trade-offs between edge preservation and latency.

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