342 citations · 2.4k across the 71 of their papers we have counts for
7 papers · 1 filter
Gated Context Aggregation Network for Image Dehazing and Deraining
Dongdong Chen, Mingming He, Qingnan Fan +5
Image dehazing aims to recover the uncorrupted content from a hazy image. Instead of leveraging traditional low-level or handcrafted image priors as the restoration constraints, e.…
CariGANs: Unpaired Photo-to-Caricature Translation
Kaidi Cao, Jing Liao, Lu Yuan
Facial caricature is an art form of drawing faces in an exaggerated way to convey humor or sarcasm. In this paper, we propose the first Generative Adversarial Network (GAN) for unp…
Decouple Learning for Parameterized Image Operators
Qingnan Fan, Dongdong Chen, Lu Yuan +3
Many different deep networks have been used to approximate, accelerate or improve traditional image operators, such as image smoothing, super-resolution and denoising. Among these…
Deep Exemplar-based Colorization
Mingming He, Dongdong Chen, Jing Liao +2
We propose the first deep learning approach for exemplar-based local colorization. Given a reference color image, our convolutional neural network directly maps a grayscale image t…
Arbitrary Style Transfer with Deep Feature Reshuffle
Shuyang Gu, Congliang Chen, Jing Liao +1
This paper introduces a novel method by reshuffling deep features (i.e., permuting the spacial locations of a feature map) of the style image for arbitrary style transfer. We theor…
Towards High Performance Video Object Detection for Mobiles
Xizhou Zhu, Jifeng Dai, Xingchi Zhu +2
Despite the recent success of video object detection on Desktop GPUs, its architecture is still far too heavy for mobiles. It is also unclear whether the key principles of sparse f…
Stereoscopic Neural Style Transfer
Dongdong Chen, Lu Yuan, Jing Liao +2
This paper presents the first attempt at stereoscopic neural style transfer, which responds to the emerging demand for 3D movies or AR/VR. We start with a careful examination of ap…