7 citations · 10 across the 6 of their papers we have counts for
6 papers
Generating Editable Head Avatars with 3D Gaussian GANs
Guohao Li, Hongyu Yang, Yifang Men +4
Generating animatable and editable 3D head avatars is essential for various applications in computer vision and graphics. Traditional 3D-aware generative adversarial networks (GANs…
Leveraging Predicate and Triplet Learning for Scene Graph Generation
Jiankai Li, Yunhong Wang, Xiefan Guo +2
Scene Graph Generation (SGG) aims to identify entities and predict the relationship triplets \textit{\textless subject, predicate, object\textgreater } in visual scenes. Given the…
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Jiankai Li, Yunhong Wang, Weixin Li
Scene Graph Generation (SGG) plays a pivotal role in downstream vision-language tasks. Existing SGG methods typically suffer from poor compositional generalizations on unseen tripl…
Fidelity-Naturalness Evaluation of Single Image Super Resolution
Xuan Dong, Yu Zhu, Weixin Li +3
We study the problem of evaluating super resolution methods. Traditional evaluation methods usually judge the quality of super resolved images based on a single measure of their di…
Ground-truth dataset and baseline evaluations for image base-detail separation algorithms
Xuan Dong, Boyan Bonev, Weixin Li +3
Base-detail separation is a fundamental computer vision problem consisting of modeling a smooth base layer with the coarse structures, and a detail layer containing the texture-lik…
An Efficient and Integrated Algorithm for Video Enhancement in Challenging Lighting Conditions
Xuan Dong, Jiangtao, Wen +6
We describe a novel integrated algorithm for real-time enhancement of video acquired under challenging lighting conditions. Such conditions include low lighting, haze, and high dyn…