209 citations · 230 across the 11 of their papers we have counts for
11 papers
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…
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models
Yuxin Zhang, Weiming Dong, Fan Tang +6
Personalizing generative models offers a way to guide image generation with user-provided references. Current personalization methods can invert an object or concept into the textu…
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…
Content-aware media retargeting based on deep importance map
Thi-Ngoc-Hanh Le, Shih-Syun Lin, Weiming Dong +1
We present a neural network to estimate the visual information of important pixels in image and video, which is used in content-aware media retargeting applications. Existing techn…
Learning a perceptual manifold with deep features for animation video resequencing
Charles C. Morace, Thi-Ngoc-Hanh Le, Sheng-Yi Yao +2
We propose a novel deep learning framework for animation video resequencing. Our system produces new video sequences by minimizing a perceptual distance of images from an existing…
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…
Image Retargeting by Content-Aware Synthesis
Weiming Dong, Fuzhang Wu, Yan Kong +3
Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on conten…