Paint by example: Exemplar-based image editing with diffusion models
Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …
we investigate exemplar-guided image editing for more precise control. We achieve this …
Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors
Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …
learning make deepfakes highly believable, and very difficult to differentiate between what is …
Editgan: High-precision semantic image editing
Generative adversarial networks (GANs) have recently found applications in image editing.
However, most GAN-based image editing methods often require large-scale datasets with …
However, most GAN-based image editing methods often require large-scale datasets with …
Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN
Abstract Generative Adversarial Networks (GANs) have established themselves as a
prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study …
prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study …
Styleres: Transforming the residuals for real image editing with stylegan
We present a novel image inversion framework and a training pipeline to achieve high-
fidelity image inversion with high-quality attribute editing. Inverting real images into …
fidelity image inversion with high-quality attribute editing. Inverting real images into …
One model to edit them all: Free-form text-driven image manipulation with semantic modulations
Free-form text prompts allow users to describe their intentions during image manipulation
conveniently. Based on the visual latent space of StyleGAN [21] and text embedding space …
conveniently. Based on the visual latent space of StyleGAN [21] and text embedding space …
Vecgan: Image-to-image translation with interpretable latent directions
We propose VecGAN, an image-to-image translation framework for facial attribute editing
with interpretable latent directions. Facial attribute editing task faces the challenges of …
with interpretable latent directions. Facial attribute editing task faces the challenges of …
Image-to-image translation with disentangled latent vectors for face editing
We propose an image-to-image translation framework for facial attribute editing with
disentangled interpretable latent directions. Facial attribute editing task faces the challenges …
disentangled interpretable latent directions. Facial attribute editing task faces the challenges …
A style-based gan encoder for high fidelity reconstruction of images and videos
We present a new encoder architecture for the inversion of Generative Adversarial Networks
(GAN). The task is to reconstruct a real image from the latent space of a pre-trained GAN …
(GAN). The task is to reconstruct a real image from the latent space of a pre-trained GAN …