Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation

1 code implementation • 22 Oct 2021 • Yang Zhang, Moyun Liu, Huiming Zhang, Guodong Sun, Jingwu He

To reduce time complexity while improving performance, a sparse representation of global nodes based on noise-free online low-rank representation is used to obtain a global graph at each scale.

Density Estimation Image Segmentation +2

Affinity Fusion Graph-based Framework for Natural Image Segmentation

2 code implementations • 24 Jun 2020 • Yang Zhang, Moyun Liu, Jingwu He, Fei Pan, Yanwen Guo

The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.

Clustering Image Segmentation +3

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

no code implementations • 17 May 2020 • Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo

To the best of our knowledge, we are the first to enhance the facial attractiveness with GANs in both geometry and appearance aspects.

Viewpoint Selection for Photographing Architectures

no code implementations • 6 Mar 2017 • Jingwu He, Linbo Wang, Wenzhe Zhou, Hongjie Zhang, Xiufen Cui, Yanwen Guo

Unlike previous efforts devoted to photo quality assessment which mainly rely on 2D image features, we show in this paper combining 2D image features extracted from images with 3D geometric features computed on the 3D models can result in more reliable evaluation of viewpoint quality.

2k Clustering