Search Results for author:
Found 7 papers, 6 papers with code
Toward Zero-Shot Unsupervised Image-to-Image Translation
Recent studies have shown remarkable success in unsupervised image-to-image translation.
Deep Image Spatial Transformation for Person Image Generation
Finally, we warp the source features using a content-aware sampling method with the obtained local attention coefficients.
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation.
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Image inpainting techniques have shown significant improvements by using deep neural networks recently.
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning
Besides, we explore variants of SingleGAN for different tasks, including one-to-many domain translation, many-to-many domain translation and one-to-one domain translation with multimodality.
Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Meanwhile, dynamic memory network (DMN) has demonstrated promising capability in capturing contextual information and has been applied successfully to various tasks.
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network.
