Virtual try-on is a critical image synthesis task that aims to transfer
...
Image harmonization is an essential step in image composition that adjus...
Painterly image harmonization aims to insert photographic objects into
p...
The goal of image harmonization is adjusting the foreground appearance i...
Given a composite image, image harmonization aims to adjust the foregrou...
In few-shot image generation, directly training GAN models on just a han...
The performances of defect inspection have been severely hindered by
ins...
Semantic segmentation is an important and prevalent task, but severely
s...
Synthetic images created by image editing operations are prevalent, but ...
With the prevalence of image editing techniques, users can create fantas...
Object placement aims to place a foreground object over a background ima...
Few-shot image generation and few-shot image translation are two related...
Image cropping aims to find visually appealing crops in an image, which ...
When using cut-and-paste to acquire a composite image, the geometry
inco...
Video understanding has achieved great success in representation learnin...
Video harmonization aims to adjust the foreground of a composite video t...
Recently, various multimodal networks for Visually-Rich Document
Underst...
Object detection has achieved promising success, but requires large-scal...
Weakly-supervised semantic segmentation (WSSS) with image-level labels h...
Video composition aims to generate a composite video by combining the
fo...
Given a composite image, image harmonization aims to adjust the foregrou...
Superimposing visible watermarks on images provides a powerful weapon to...
Vision transformers have recently received explosive popularity, but the...
Image composition aims to generate realistic composite image by insertin...
As a common image editing operation, image composition aims to cut the
f...
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
Image composition targets at inserting a foreground object on a backgrou...
The advance of image editing techniques allows users to create artistic
...
Image composition assessment is crucial in aesthetic assessment, which a...
Image harmonization has been significantly advanced with large-scale
har...
The information bottleneck (IB) method is a technique for extracting
inf...
Zero-shot learning has been actively studied for image classification ta...
Recognizing fine-grained categories remains a challenging task, due to t...
Image composition is a fundamental operation in image editing field. How...
Learning to generate new images for a novel category based on only a few...
Existing semantic segmentation models heavily rely on dense pixel-wise
a...
In order to generate images for a given category, existing deep generati...
Multi-task Learning (MTL) for classification with disjoint datasets aims...
To generate new images for a given category, most deep generative models...
Static image action recognition, which aims to recognize action based on...
The goal of Sketch-Based Image Retrieval (SBIR) is using free-hand sketc...
Image composition is an important operation in image processing, but the...
Activity image-to-video retrieval task aims to retrieve videos containin...
Aesthetic image cropping is a practical but challenging task which aims ...
Image composition is an important operation in image processing, but the...
Learning from web data has attracted lots of research interest in recent...
Semantic segmentation has achieved significant progress but is still
cha...
Multi-shot pedestrian re-identification problem is at the core of
survei...
Recently deep neural networks based on tanh activation function have sho...
Tensor networks have in recent years emerged as the powerful tools for
s...