120 citations · 149 across the 5 of their papers we have counts for
5 papers
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
Xujie Kang, Kanglin Liu, Jiang Duan +2
Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…
Lightness Modulated Deep Inverse Tone Mapping
Kanglin Liu, Gaofeng Cao, Jiang Duan +1
Single-image HDR reconstruction or inverse tone mapping (iTM) is a challenging task. In particular, recovering information in over-exposed regions is extremely difficult because de…
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing
Kanglin Liu, Gaofeng Cao, Fei Zhou +3
Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the o…
End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks
Wei Liu, Xianxu Hou, Jiang Duan +1
Single image defogging is a classical and challenging problem in computer vision. Existing methods towards this problem mainly include handcrafted priors based methods that rely on…
Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone Mapping
Xianxu Hou, Jiang Duan, Guoping Qiu
Building on crucial insights into the determining factors of the visual integrity of an image and the property of deep convolutional neural network (CNN), we have developed the Dee…