Search Results for author: Daquan Liu

Found 2 papers, 1 papers with code

Deep Image-based Illumination Harmonization

no code implementations CVPR 2022 Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao

Specifically, we firstly apply a physically-based rendering method to construct a large-scale, high-quality dataset (named IH) for our task, which contains various types of foreground objects and background scenes with different lighting conditions.

Object

ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes

2 code implementations CVPR 2020 Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, Chunxia Xiao

The extensive experimental results show that our proposed ARShadowGAN is capable of directly generating plausible virtual object shadows in single light scenes.

Generative Adversarial Network Object

Cannot find the paper you are looking for? You can Submit a new open access paper.