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.
Uniconvnet: Expanding effec- tive receptive field while maintaining asymptotically gaus- sian distribution for convnets of any scale
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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.