Physical model and image translation fused network for single-image dehazing

•An end-to-end physical model and image translate fused network is proposed for single image dehazing. The proposed network contains a common feature extraction encoder, a transmission map decoder and an image translation decoder.•An elaborate conditional attention feature fusion block is proposed to aggregate the guidance information of the physical model and the image translation.•The network is supervised with multi-task multi-scale deep supervision mechanism and verified on low-level image dehazing task and high-level semantic segmentation task.