LoopExpose learns arbitrary-length exposure correction without paired labels through a nested correction-fusion loop. Multi-exposure fusion iteratively refines pseudo-labels, while luminance-ranking supervision preserves the relative brightness order of the input sequence.
ZeroEC removes dependence on curated multi-exposure data by synthesizing continuous exposure degradations online and enforcing consistent correction across them. An inverse-exposure constraint exploits complementary observable regions to improve severely degraded areas while remaining applicable to different correction backbones.
This work reformulates exposure correction around spatially non-uniform degradation. It predicts region-adaptive modulation signals for explicit 3D LUT transformation, supplements color fidelity in HSL space, and uses uncertainty-aware optimization to balance heterogeneous local restoration demands.