LDMGAN: Reducing Mode Collapse in GANs with Latent Distribution Matching

no code implementations • ICLR 2020 • Zhiwen Zuo, Lei Zhao, Huiming Zhang, Qihang Mo, Haibo Chen, Zhizhong Wang, Ailin Li, Lihong Qiu, Wei Xing, Dongming Lu

Generative Adversarial Networks (GANs) have shown impressive results in modeling distributions over complicated manifolds such as those of natural images.

Diversified Arbitrary Style Transfer via Deep Feature Perturbation

2 code implementations • CVPR 2020 • Zhizhong Wang, Lei Zhao, Haibo Chen, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, Dongming Lu

Image style transfer is an underdetermined problem, where a large number of solutions can satisfy the same constraint (the content and style).

Style Transfer