136 citations · 137 across the 4 of their papers we have counts for
4 papers · 1 filter
See-through: Single-image Layer Decomposition for Anime Characters
Jian Lin, Chengze Li, Haoyun Qin +5
We introduce a framework that automates the transformation of static anime illustrations into manipulatable 2.5D models. Current professional workflows require tedious manual segme…
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…
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…