facegan

由 X Wang 著作 · 2022 · 被引用 54 次 — In this work, we aim to provide a comprehensive review of recent progress in GAN-face detection. We focus on methods that can detect face images ...

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer. - GitHub - streamlit/demo-face-gan: A demonstration of using ...

Basic GAN frameworks and approaches for face swap, reenactment, and stylizing. - GitHub - zhangzjn/awesome-face-generation: Basic GAN frameworks and ...

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 ...

How does GANs work?¶ · The discriminator is in a feedback loop with the ground truth of the images, which we know. · The generator is in a feedback loop with ...

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 ...

由 Y Chen 著作 · 2023 — Comprehensive experiments conducted on two publicly available face datasets establish that EC-GAN is capable of inferring emotions and controlling them more ...

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 ...