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StyleFusion
StyleFusion: A Generative Model for Disentangling Spatial Segments -
User-Controllable Latent Transformer for StyleGAN Image Layout Editing
The dataset used in the paper for user-controllable latent code transformation for StyleGAN image layout editing. -
Pacific Graphics 2022
The dataset used in the paper for user-controllable latent code transformation for StyleGAN image layout editing. -
ExtSwap dataset
The dataset used for face swapping and attribute transfer using the proposed ExtSwap method. -
StyleVideoGAN
StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN -
Improved Precision and Recall Metric for Assessing Generative Models
The dataset used in the paper is not explicitly described, but it is mentioned that it is a generative model dataset. -
ShapeEditer: a StyleGAN Encoder for Face Swapping
Face swapping using StyleGAN -
FFHQ, AFHQ-Cat, and LSUN-Church
The dataset used in the paper is a large dataset of images, including FFHQ, AFHQ-Cat, and LSUN-Church. -
MyStyle++: A Controllable Personalized Generative Prior
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a few images of an individual with a set of corresponding attributes. -
RobustSwap: A Simple yet Robust Face Swapping Model
Face swapping aims at injecting a source image’s identity (i.e., facial features) into a target image, while strictly preserving the target’s attributes, which are irrelevant to... -
CelebA-HQ, FFHQ, and AFHQ datasets
The dataset used for the experiments in the paper, including CelebA-HQ, FFHQ, and AFHQ datasets. -
Analyzing and Improving the Image Quality of StyleGAN
A dataset for analyzing and improving the image quality of StyleGAN. -
Flickr-Faces-HQ Dataset and CelebA dataset
The dataset used in the paper is the Flickr-Faces-HQ Dataset (FFHQ) and CelebA dataset.