MetaWeather: Few-Shot Weather-Degraded Image Restoration

arXiv:2308.14334v3 Announce Type: replace
Abstract: Real-world weather conditions are intricate and often occur concurrently. However, most existing restoration approaches are limited in their applicability to specific weather conditions in training data and struggle to generalize to unseen weather types, including real-world weather conditions.To address this issue, we introduce MetaWeather, a universal approach that can handle diverse and novel weather conditions with a single unified model. Extending a powerful meta-learning framework, MetaWeather formulates the task of weather-degraded image restoration as a …

abstract arxiv cs.cv data few-shot however image image restoration issue struggle training training data type types universal weather world