Xiaojie Guo

Achieve state-of-the-art low-light image enhancement by cleverly extracting reliable references from the degraded image itself, sidestepping the need for paired training data.

Seemingly innocuous photometric variations between training pairs cripple low-level vision models, but a simple closed-form alignment loss can unlock significant gains across diverse tasks and architectures.