由 Y Liu 著作 · 2022 · 被引用 11 次 — Abstract:Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to render desired attributes, ...
Face generation GAN. Our objective is to create a model capable of generating realistic human images that do not exist in reality. (In future, I will upload a ...
由 Y Shen 著作 · 2018 · 被引用 190 次 — Unlike two-player GANs, this work generates identity- preserving faces by proposing FaceID-GAN, which treats a classifier of face identity as the third player, ...
Face generation is the task of generating (or interpolating) new faces from an existing dataset. The state-of-the-art results for this task are located in ...
We take batches of image from the input distribution along with generated fake images and fed it to discriminator so that it learns to distinguish between real ...
The software uses a generative adversarial network (GAN) approach, in which two neural networks play a game of cat and mouse, one attempting to generate ...