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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 …
Image and video matting: a survey
Matting refers to the problem of accurate foreground estimation in images and video. It is
one of the key techniques in many image editing and film production applications, thus has …
one of the key techniques in many image editing and film production applications, thus has …
Paint by example: Exemplar-based image editing with diffusion models
Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …
we investigate exemplar-guided image editing for more precise control. We achieve this …
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 …
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 …
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 …
Unified multi-modal latent diffusion for joint subject and text conditional image generation
Language-guided image generation has achieved great success nowadays by using
diffusion models. However, texts can be less detailed to describe highly-specific subjects …
diffusion models. However, texts can be less detailed to describe highly-specific subjects …
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 …
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 …