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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 …
Objectstitch: Object compositing with diffusion model
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 …
multiple processing stages such as color harmonization, geometry correction and shadow …
Neural preset for color style transfer
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 …
color style transfer methods, including visual artifacts, vast memory requirement, and slow …
Pct-net: Full resolution image harmonization using pixel-wise color transformations
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 …
can be easily applied to images at full resolution. The key idea is to learn a parameter …
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 …
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 …
Dccf: Deep comprehensible color filter learning framework for high-resolution image harmonization
Image color harmonization algorithm aims to automatically match the color distribution of
foreground and background images captured in different conditions. Previous deep learning …
foreground and background images captured in different conditions. Previous deep learning …
Intrinsic image harmonization
Compositing an image usually inevitably suffers from inharmony problem that is mainly
caused by incompatibility of foreground and background from two different images with …
caused by incompatibility of foreground and background from two different images with …
Shadow generation for composite image using diffusion model
In the realm of image composition generating realistic shadow for the inserted foreground
remains a formidable challenge. Previous works have developed image-to-image …
remains a formidable challenge. Previous works have developed image-to-image …
Scs-co: Self-consistent style contrastive learning for image harmonization
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 …
foreground to make it compatible with a background. However, existing methods always …