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 …
Deep image harmonization with globally guided feature transformation and relation distillation
Given a composite image, image harmonization aims to adjust the foreground illumination to
be consistent with background. Previous methods have explored transforming foreground …
be consistent with background. Previous methods have explored transforming foreground …
Deep image harmonization in dual color spaces
Image harmonization is an essential step in image composition that adjusts the appearance
of composite foreground to address the inconsistency between foreground and background …
of composite foreground to address the inconsistency between foreground and background …
Deep video harmonization by improving spatial-temporal consistency
Video harmonization is an important step in video editing to achieve visual consistency by
adjusting foreground appearances in both spatial and temporal dimensions. Previous …
adjusting foreground appearances in both spatial and temporal dimensions. Previous …
Painterly Image Harmonization by Learning from Painterly Objects
Given a composite image with photographic object and painterly background, painterly
image harmonization targets at stylizing the composite object to be compatible with the …
image harmonization targets at stylizing the composite object to be compatible with the …
Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles
Painterly image harmonization aims to harmonize a photographic foreground object on the
painterly background. Different from previous auto-encoder based harmonization networks …
painterly background. Different from previous auto-encoder based harmonization networks …
Remote Sensing Image Harmonization Method for Fine-Grained Ship Classification
J Zhang, Z Zhong, X Wei, X Wu, Y Li - Remote Sensing, 2024 - mdpi.com
Target recognition and fine-grained ship classification in remote sensing face challenges of
high inter-class similarity and sample scarcity. A transfer fusion-based ship image …
high inter-class similarity and sample scarcity. A transfer fusion-based ship image …
Retrieval Augmented Image Harmonization
When embedding objects (foreground) into images (background), considering the influence
of photography conditions like illumination, it is usually necessary to perform image …
of photography conditions like illumination, it is usually necessary to perform image …
DiffHarmony++: Enhancing Image Harmonization with Harmony-VAE and Inverse Harmonization Model
Latent diffusion model has demonstrated impressive efficacy in image generation and
editing tasks. Recently, it has also promoted the advancement of image harmonization …
editing tasks. Recently, it has also promoted the advancement of image harmonization …
BSTNet for Content-Fixed Image Harmonization
Y Zhi, Y Zhang, B Li, D Zhou, S Yang… - 2024 36th Chinese …, 2024 - ieeexplore.ieee.org
Image harmonization aims to enhance the visual coherence of composite images, where
composite images refer to placing an object from an image onto another one. Most …
composite images refer to placing an object from an image onto another one. Most …