1 code implementation • 19 Mar 2024 • Hanzhou Liu, Binghan Li, Chengkai Liu, Mi Lu
To this end, we propose DeblurDiNAT, a compact encoder-decoder Transformer which efficiently restores clean images from real-world blurry ones.
Ranked #3 on Deblurring on RealBlur-J (trained on GoPro)
no code implementations • 12 Mar 2021 • Binghan Li, Yindong Hua, Yifeng Liu, Mi Lu
It also reduces the amount of parameters significantly by replacing the fully connected layers with the fully convolutional layers.
no code implementations • 12 Mar 2021 • Binghan Li, Yindong Hua, Mi Lu
To increase object detection accuracy in the hazy environment, the authors further present an algorithm to build a synthetic hazy COCO training dataset by generating the artificial haze to the MS COCO training dataset.
no code implementations • 25 Apr 2019 • Binghan Li, Wenrui Zhang, Mi Lu
The RESIDE dataset provides enough synthetic hazy images and their corresponding groundtruth images to train and test.