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 …

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 …

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 …

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 …

Image color harmonization algorithm aims to automatically match the color distribution of
foreground and background images captured in different conditions. Previous deep learning …

Compositing an image usually inevitably suffers from inharmony problem that is mainly
caused by incompatibility of foreground and background from two different images with …

Image harmonization aims to achieve visual consistency in composite images by adapting a
foreground to make it compatible with a background. However, existing methods always …

In this paper, we present PCT-Net, a simple and general image harmonization method that
can be easily applied to images at full resolution. The key idea is to learn a parameter …

We seek to give users precise control over diffusion-based image generation by modeling
complex scenes as sequences of layers, which define the desired spatial arrangement and …

In this paper, we present a Neural Preset technique to address the limitations of existing
color style transfer methods, including visual artifacts, vast memory requirement, and slow …