136 citations · 137 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Surrogate Gradient Field for Latent Space Manipulation
Minjun Li, Yanghua Jin, Huachun Zhu
Generative adversarial networks (GANs) can generate high-quality images from sampled latent codes. Recent works attempt to edit an image by manipulating its underlying latent code,…
cs.CV2020★ 1 cited
Fast Soft Color Segmentation
Naofumi Akimoto, Huachun Zhu, Yanghua Jin +1
We address the problem of soft color segmentation, defined as decomposing a given image into several RGBA layers, each containing only homogeneous color regions. The resulting laye…
cs.CV2017★ 136 cited
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
Yanghua Jin, Jiakai Zhang, Minjun Li +3
Automatic generation of facial images has been well studied after the Generative Adversarial Network (GAN) came out. There exists some attempts applying the GAN model to the proble…