Search Results for author:
Found 3 papers, 3 papers with code
SIEDOB: Semantic Image Editing by Disentangling Object and Background
Moreover, to produce high-quality edited images, we propose some innovative designs, including Semantic-Aware Self-Propagation Module, Boundary-Anchored Patch Discriminator, and Style-Diversity Object Generator, and integrate them into SIEDOB.
Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control
To introduce strong control for face inpainting, we propose a novel reference-guided face inpainting method that fills the large-scale missing region with identity and texture control guided by a reference face image.
Context-Consistent Semantic Image Editing with Style-Preserved Modulation
Semantic image editing utilizes local semantic label maps to generate the desired content in the edited region.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
