Artificial Faces: The Encoder-Decoder and GAN Guide to Deepfakes
Apr 2, 2024 · In deepfake generation, the decoder is responsible for creating the final manipulated image or video by applying the learned features onto a target face or scene. The decoder must …
Generating Faces Using Variational Autoencoders with PyTorch
Oct 23, 2023 · In this tutorial, we employ the CelebA dataset for training our variational autoencoder model. The CelebA dataset consists of over 200,000 vibrant celebrity face …
Face Generator Variational Auto Encoder - GitHub
This project explores Variational Autoencoders (VAEs) with a focus on face image reconstruction and generation. The goal is to learn about the inner workings of VAEs, particularly how they …
How to Generate Images using Autoencoders | AI Summer
Sep 9, 2018 · Image Generation with AutoEncoders. In our example, we will try to generate new images using a variational auto encoder. We are going to use the MNIST dataset and the …
Behind the Code: How Our Face Generator AI Works
Feb 29, 2024 · Face Generator AI creates realistic human faces online for free, using advanced algorithms to produce lifelike and diverse results. Ideal for creative projects, this tool is trusted …
AI Face Generator: Create Realistic Faces from Text or Images
With the AI face generator, you can create realistic faces from text or images. Customize details and styles of your ai generated faces to make each face unique. ... Our AI face maker …
ISA-GAN: inception-based self-attentive encoder–decoder
Jan 22, 2024 · We propose an inception embedded self-attentive encoder–decoder network for delineated face to realistic face transformation using GAN. Our generator network is …
Iterative Facial Image Inpainting Based on an Encoder-Generator ...
Jan 18, 2021 · In this paper, we propose an efficient solution to the facial image inpainting problem using the Cyclic Reverse Generator (CRG) architecture, which provides an encoder …
Encoders and Decoders in Generative AI | by Mansoor Basha Syed
Aug 28, 2023 · Generative Adversarial Networks (GANs): GANs consist of a generator (decoder) and a discriminator (encoder). These models engage in a creative battle, with the generator …
An Encoder-decoder based approach for generating Faces using …
Although there are researches the address the problem of generating faces, they do so by using a facial image as a base and changing the required attributes. To solve this problem, we make …
- Some results have been removed