本文将介绍低光增强(Low-Light Image Enhancement, LLIE)领域的工作《Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation》,该工作发表在IEEE TPAMI期刊。该工作是在IEEE CVPR2020年发表的《Zero-DCE Zero-Reference
之后,Zero-DCE的拓展版Zero-DCE++发到了TPAMI期刊上。期刊版版面足够,原论文中一些来不及讲清的地方(比如空间一致误差)在期刊版中都有更详尽的说明。大家如果想读论文,建议直接读期刊版本的。论文层层递进,逻辑非常清楚,非常适合从头到尾读一遍。 Zero-DCE++在方法上主要是对性能上进行了一些增强,而没有改进原作...
{Li, Chongyi and Guo, Chunle Guo and Loy, Chen Change}, title = {Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation}, booktitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, pages = {}, month = {}, year = {2021} doi={10.1109/TPAMI....
{Li, Chongyi and Guo, Chunle Guo and Loy, Chen Change}, title = {Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation}, booktitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, pages = {}, month = {}, year = {2021} doi={10.1109/TPAMI....
本文将介绍低光增强(Low-Light Image Enhancement, LLIE)领域的工作《Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation》,该工作发表在IEEE TPAMI期刊。该工作是在IEEE CVPR2020年发表的《Zero-DCE Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》工作基础上进行...