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Found 5 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.
Face Attribute Editing with Disentangled Latent Vectors
For this goal, inspired by the latent space factorization works of fixed pretrained GANs, we design the attribute editing by latent space factorization, and for each attribute, we learn a linear direction that is orthogonal to the others.
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.
Benchmarking the Robustness of Instance Segmentation Models
These presented robustness and generalization evaluations are important when designing instance segmentation models for real-world applications and picking an off-the-shelf pretrained model to directly use for the task at hand.
