DCDA uses 4D radar-conditioned diffusion with dual critics to align degraded LiDAR features to a clean manifold, enabling generalization to unseen weather types and severities without paired data or labels.
In: ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Sig- nal Processing (ICASSP)
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Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment
DCDA uses 4D radar-conditioned diffusion with dual critics to align degraded LiDAR features to a clean manifold, enabling generalization to unseen weather types and severities without paired data or labels.