HAC (Hybrid Adverse Conditions)
Introduced by Wan et al. in Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go
HAC is a dataset for learning and benchmarking arbitrary Hybrid Adverse Conditions restoration. HAC contains 31 scenarios composed of an arbitrary combination of five common weather, with a total of 316K adverse-weather/clean pairs.
Source: Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One GoPapers
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