Search Results for author:
Found 3 papers, 1 papers with code
Warping the Residuals for Image Editing with StyleGAN
However, their results either suffer from low fidelity to the input image or poor editing qualities, especially for edits that require large transformations.
Diverse Inpainting and Editing with GAN Inversion
Specifically, we propose to learn an encoder and mixing network to combine encoded features from erased images with StyleGAN's mapped features from random samples.
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
From the application point of view, a user needs to generate the masks for the objects they would like to remove which can be time-consuming and prone to errors.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
