Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement

no code implementations • 11 Mar 2021 • Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Wei Tang, Yuehu Liu, Gaofeng Meng, Le Wang, Li Li

The key procedure of haze image translation through adversarial training lies in the disentanglement between the feature only involved in haze synthesis, i. e. style feature, and the feature representing the invariant semantic content, i. e. content feature.

Disentanglement Image Generation +1

Joint haze image synthesis and dehazing with mmd-vae losses

no code implementations • 15 May 2019 • Zongliang Li, Chi Zhang, Gaofeng Meng, Yuehu Liu

Fog and haze are weathers with low visibility which are adversarial to the driving safety of intelligent vehicles equipped with optical sensors like cameras and LiDARs.

Autonomous Driving Image Dehazing +2