Search Results for author:
Found 4 papers, 1 papers with code
Surrogate Gradient Field for Latent Space Manipulation
Thorough experimental analysis on the facial attribute adjustment task shows that our method outperforms state-of-the-art methods in disentanglement.
Fast Soft Color Segmentation
We address the problem of soft color segmentation, defined as decomposing a given image into several RGBA layers, each containing only homogeneous color regions.
Amortized Nesterov's Momentum: Robust and Lightweight Momentum for Deep Learning
Stochastic Gradient Descent (SGD) with Nesterov's momentum is a widely used optimizer in deep learning, which is observed to have excellent generalization performance.
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
With quantitative analysis and case studies we demonstrate that our efforts lead to a stable and high-quality model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
