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Found 6 papers, 4 papers with code
WinSyn: A High Resolution Testbed for Synthetic Data
We evaluate a procedural model by training semantic segmentation networks on both synthetic and real images and then comparing their performances on a shared test set of real images.
CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions
The success of StyleGAN has enabled unprecedented semantic editing capabilities, on both synthesized and real images.
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
The input to our method is trained GAN that can produce images in domain A and a single reference image I_B from domain B.
Barbershop: GAN-based Image Compositing using Segmentation Masks
Seamlessly blending features from multiple images is extremely challenging because of complex relationships in lighting, geometry, and partial occlusion which cause coupling between different parts of the image.
Improved StyleGAN Embedding: Where are the Good Latents?
First, we introduce a new normalized space to analyze the diversity and the quality of the reconstructed latent codes.
Facade Segmentation in the Wild
Specifically, we propose a MULTIFACSEGNET architecture to assign multiple labels to each pixel, a SEPARABLE architecture as a low-rank formulation that encourages extraction of rectangular elements, and a COMPATIBILITY network that simultaneously seeks segmentation across facade element types allowing the network to 'see' intermediate output probabilities of the various facade element classes.
