UniBlendNet combines UniConvNet for global dependencies, a Scale-Aware Aggregation Module for multi-scale features, and mask-guided refinement to outperform prior methods like IFBlend on ambient lighting normalization benchmarks.
Zero- reference joint low-light enhancement and deblurring via vi- sual autoregressive modeling with vlm-derived modulation
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UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization
UniBlendNet combines UniConvNet for global dependencies, a Scale-Aware Aggregation Module for multi-scale features, and mask-guided refinement to outperform prior methods like IFBlend on ambient lighting normalization benchmarks.