1 code implementation • 30 Sep 2020 • Hui Zeng, Jianrui Cai, Lida Li, Zisheng Cao, Lei Zhang
The small CNN works on the down-sampled version of the input image to predict content-dependent weights to fuse the multiple basis 3D LUTs into an image-adaptive one, which is employed to transform the color and tone of source images efficiently.
Ranked #5 on Image Enhancement on MIT-Adobe 5k (SSIM on proRGB metric)
1 code implementation • 18 Sep 2019 • Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang
The employed evaluation metrics such as intersection-over-union cannot reliably reflect the real performance of a cropping model, either.
no code implementations • 5 Aug 2019 • Zhetong Liang, Jianrui Cai, Zisheng Cao, Lei Zhang
Traditional image signal processing (ISP) pipeline consists of a set of individual image processing components onboard a camera to reconstruct a high-quality sRGB image from the sensor raw data.
1 code implementation • CVPR 2019 • Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang
Consequently, a grid anchor based cropping benchmark is constructed, where all crops of each image are annotated and more reliable evaluation metrics are defined.
no code implementations • ICCV 2019 • Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang
Most of the existing learning-based single image superresolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated by applying a simple and uniform degradation (i. e., bicubic downsampling) to their high-resolution (HR) counterparts.
no code implementations • 10 Jul 2018 • Jianrui Cai, Zisheng Cao, Lei Zhang
By changing the rank of the core tensor and its quantization, we can easily adjust the bpp rate of latent image representation within a single CNN.
no code implementations • CVPR 2018 • Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang
State-of-the-art tone mapping algorithms mostly decompose an image into a base layer and a detail layer, and process them accordingly.