Search Results for author:
Found 7 papers, 4 papers with code
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain.
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
To deliver the artistic expression of the target style, recent studies exploit the attention mechanism owing to its ability to map the local patches of the style image to the corresponding patches of the content image.
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images.
Ranked #1 on
RGB Salient Object Detection
on ECSSD
A Style-aware Discriminator for Controllable Image Translation
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.
Image Manipulation
Multimodal Unsupervised Image-To-Image Translation
+1
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
In this paper, we propose a dense depth estimation pipeline for multiview 360{\deg} images.
FA-GAN: Feature-Aware GAN for Text to Image Synthesis
Secondly, we introduce a feature-aware loss to provide the generator more direct supervision by employing the feature representation from the self-supervised discriminator.
Localization Uncertainty-Based Attention for Object Detection
Object detection has been applied in a wide variety of real world scenarios, so detection algorithms must provide confidence in the results to ensure that appropriate decisions can be made based on their results.
