Making images real again: A comprehensive survey on deep image composition

L Niu, W Cong, L Liu, Y Hong, B Zhang, J Liang… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Region-aware adaptive instance normalization for image harmonization

J Ling, H Xue, L Song, R Xie… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …

Semantic photo manipulation with a generative image prior

D Bau, H Strobelt, W Peebles, J Wulff, B Zhou… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Dovenet: Deep image harmonization via domain verification

W Cong, J Zhang, L Niu, L Liu, Z Ling… - Proceedings of the …, 2020 - openaccess.thecvf.com
Image composition is an important operation in image processing, but the inconsistency
between foreground and background significantly degrades the quality of composite image …

High-resolution image harmonization via collaborative dual transformations

W Cong, X Tao, L Niu, J Liang, X Gao… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 with transformer

Z Guo, D Guo, H Zheng, Z Gu… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Compositional gan: Learning image-conditional binary composition

S Azadi, D Pathak, S Ebrahimi, T Darrell - International Journal of …, 2020 - Springer
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 …

Harmonizer: Learning to perform white-box image and video harmonization

Z Ke, C Sun, L Zhu, K Xu, RWH Lau - European Conference on Computer …, 2022 - Springer
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 …

Gp-gan: Towards realistic high-resolution image blending

H Wu, S Zheng, J Zhang, K Huang - Proceedings of the 27th ACM …, 2019 - dl.acm.org
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 …

Deep image harmonization

YH Tsai, X Shen, Z Lin, K Sunkavalli… - Proceedings of the …, 2017 - openaccess.thecvf.com
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 …