Making images real again: A comprehensive survey on deep image composition
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 …
from one image and another background image, resulting in a composite image. However …
Region-aware adaptive instance normalization for image harmonization
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 …
realistic composite images, one must adjust the appearance and visual style of the …
Semantic photo manipulation with a generative image prior
Despite the recent success of GANs in synthesizing images conditioned on inputs such as a
user sketch, text, or semantic labels, manipulating the high-level attributes of an existing …
user sketch, text, or semantic labels, manipulating the high-level attributes of an existing …
Dovenet: Deep image harmonization via domain verification
Image composition is an important operation in image processing, but the inconsistency
between foreground and background significantly degrades the quality of composite image …
between foreground and background significantly degrades the quality of composite image …
High-resolution image harmonization via collaborative dual transformations
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 …
compatible with the background. High-resolution image harmonization is in high demand …
Image harmonization with transformer
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 …
and challenging task. The composite, synthesized by combining foreground from one image …
Compositional gan: Learning image-conditional binary composition
Abstract Generative Adversarial Networks can produce images of remarkable complexity
and realism but are generally structured to sample from a single latent source ignoring the …
and realism but are generally structured to sample from a single latent source ignoring the …
Harmonizer: Learning to perform white-box image and video harmonization
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 …
task via large autoencoders. They have unsatisfactory performances and slow inference …
Gp-gan: Towards realistic high-resolution image blending
It is common but challenging to address high-resolution image blending in the automatic
photo editing application. In this paper, we would like to focus on solving the problem of high …
photo editing application. In this paper, we would like to focus on solving the problem of high …
Deep image harmonization
Compositing is one of the most common operations in photo editing. To generate realistic
composites, the appearances of foreground and background need to be adjusted to make …
composites, the appearances of foreground and background need to be adjusted to make …