xdlining的博客

原创 Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform

原创 A Closed-form Solution to Photorealistic Image Stylization

Contribution: Our method consists of a stylization step and a smoothing step. Both have a closed-form solutionand can be computed efficiently. The stylization step is based on the whitening and colo...

原创 Semantic Nighttime Image Segmentation with Synthetic Stylized Data Gradual Adaptation

A closed form solution to photorealistic image stylization. ECCV 2018

原创 Night Time Haze and Glow Removal using Deep Dilated Convolutional Network

原创 Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation

Novelty: We propose a novel learning framework that performs sensortransferon synthetic data. That is, the network learns to transfer the real sensor effect domain – blur, exposure, noise, color ...

原创 Real-Time monocular depth estimation using synthetic data with domain adaptation via IST

4 Contributions: synthetic depth prediction - a directly supervised model using a light-weight architecture with skip connections that can predict depth based on high-quality synthetic depth training...

原创 Synthetic to real adaptation with generative correlation alignment network

3 contributions: We propose a Deep Generative Correlation Alignment Network(DGCAN) to synthesize CAD objects contour from the CAD-synthetic domain with natural textures from the real image domain. ...