209 citations · 230 across the 11 of their papers we have counts for
7 papers · 1 filter
Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization
Dong-Yi Wu, Thi-Ngoc-Hanh Le, Sheng-Yi Yao +2
Image collage is a very useful tool for visualizing an image collection. Most of the existing methods and commercial applications for generating image collages are designed on simp…
Regenerating Arbitrary Video Sequences with Distillation Path-Finding
Thi-Ngoc-Hanh Le, Sheng-Yi Yao, Chun-Te Wu +1
If the video has long been mentioned as a widespread visualization form, the animation sequence in the video is mentioned as storytelling for people. Producing an animation require…
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
Yuxin Zhang, Fan Tang, Weiming Dong +4
We present Unified Contrastive Arbitrary Style Transfer (UCAST), a novel style representation learning and transfer framework, which can fit in most existing arbitrary image style…
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
Yu Cao, Xiangqiao Meng, P. Y. Mok +3
It is a time-consuming and tedious work for manually colorizing anime line drawing images, which is an essential stage in cartoon animation creation pipeline. Reference-based line…
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Nisha Huang, Fan Tang, Weiming Dong +2
Image manipulation under the guidance of textual descriptions has recently received a broad range of attention. In this study, we focus on the regional editing of images with the g…
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
Yuxin Zhang, Fan Tang, Weiming Dong +4
In this work, we tackle the challenging problem of arbitrary image style transfer using a novel style feature representation learning method. A suitable style representation, as a…
Image Retargetability
Fan Tang, Weiming Dong, Yiping Meng +4
Real-world applications could benefit from the ability to automatically retarget an image to different aspect ratios and resolutions, while preserving its visually and semantically…