Search Results for author:
Found 2 papers, 0 papers with code
Faster Unsupervised Semantic Inpainting: A GAN Based Approach
In this paper, we propose to improve the inference speed and visual quality of contemporary baseline of Generative Adversarial Networks (GAN) based unsupervised semantic inpainting.
Improved Techniques for GAN based Facial Inpainting
Current benchmark models are susceptible to initial solutions of non-convex optimization criterion of GAN based inpainting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
