136 citations · 137 across the 3 of their papers we have counts for
4 papers
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,…
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…
Spatially Controllable Image Synthesis with Internal Representation Collaging
Ryohei Suzuki, Masanori Koyama, Takeru Miyato +2
We present a novel CNN-based image editing strategy that allows the user to change the semantic information of an image over an arbitrary region by manipulating the feature-space r…
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…