Towards high-resolution salient object detection
Deep neural network based methods have made a significant breakthrough in salient object
detection. However, they are typically limited to input images with low resolutions (400x400 …
detection. However, they are typically limited to input images with low resolutions (400x400 …
Unified Image Harmonization with Region Augmented Attention Normalization
The image harmonization task endeavors to adjust foreground information within an image
synthesis process to achieve visual consistency by leveraging background information. In …
synthesis process to achieve visual consistency by leveraging background information. In …
Image composites using a generative neural network
The present disclosure relates to an image composite system that employs a generative
adversarial network to generate realistic composite images. For example, in one or more …
adversarial network to generate realistic composite images. For example, in one or more …
The Way to picture Reality: A Review, Evaluation and Recipe of Image Harmonization
Image harmonization is an interesting but challenging task in image processing. The task is
to adjust the visual information between the foreground and background in the picture, so …
to adjust the visual information between the foreground and background in the picture, so …