As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …

In this work we ask whether it is possible to create a" universal" detector for telling apart real
images from these generated by a CNN, regardless of architecture or dataset used. To test …

Object compositing based on 2D images is a challenging problem since it typically involves
multiple processing stages such as color harmonization, geometry correction and shadow …

Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …

Image composition plays a common but important role in photo editing. To acquire photo-
realistic composite images, one must adjust the appearance and visual style of the …

The diffusion of fake images and videos on social networks is a fast growing problem.
Commercial media editing tools allow anyone to remove, add, or clone people and objects …

Image composition is an important operation in image processing, but the inconsistency
between foreground and background significantly degrades the quality of composite image …

Given a composite image, image harmonization aims to adjust the foreground to make it
compatible with the background. High-resolution image harmonization is in high demand …

Image harmonization, aiming to make composite images look more realistic, is an important
and challenging task. The composite, synthesized by combining foreground from one image …

Recent works on image harmonization solve the problem as a pixel-wise image translation
task via large autoencoders. They have unsatisfactory performances and slow inference …