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20162026
most citedContext-Aware Text-Based Binary Image Stylization and Synthesis

29 citations · 75 across the 14 of their papers we have counts for

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13 papers · 1 filter

cs.CV2026

VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning

Yifan Li, Pei Cheng, Bin Fu +2

Video chroma-lux editing, which aims to modify illumination and color while preserving structural and temporal fidelity, remains a significant challenge. Existing methods typically…

cs.CV2025

PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model

Xiang Gao, Shuai Yang, Jiaying Liu

Optical illusion hidden picture is an interesting visual perceptual phenomenon where an image is cleverly integrated into another picture in a way that is not immediately obvious t…

cs.CV2025★ 1 cited

Language-based Image Colorization: A Benchmark and Beyond

Yifan Li, Shuai Yang, Jiaying Liu

Image colorization aims to bring colors back to grayscale images. Automatic image colorization methods, which requires no additional guidance, struggle to generate high-quality ima…

cs.CV2024

Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation

Yuhang Bai, Zichuan Huang, Wenshuo Gao +2

Artistic text generation aims to amplify the aesthetic qualities of text while maintaining readability. It can make the text more attractive and better convey its expression, thus…

cs.CV2024★ 1 cited

Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond

Jiahang Zhang, Lilang Lin, Shuai Yang +1

Self-supervised learning (SSL), which aims to learn meaningful prior representations from unlabeled data, has been proven effective for skeleton-based action understanding. Differe…

cs.CV2020★ 9 cited

From Design Draft to Real Attire: Unaligned Fashion Image Translation

Yu Han, Shuai Yang, Wenjing Wang +1

Fashion manipulation has attracted growing interest due to its great application value, which inspires many researches towards fashion images. However, little attention has been pa…

cs.CV2020★ 5 cited

Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach

Yueyu Hu, Shuai Yang, Wenhan Yang +2

The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits…

cs.CV2020★ 3 cited

Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches

Shuai Yang, Zhangyang Wang, Jiaying Liu +1

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, p…

cs.CV2019

TE141K: Artistic Text Benchmark for Text Effect Transfer

Shuai Yang, Wenjing Wang, Jiaying Liu

Text effects are combinations of visual elements such as outlines, colors and textures of text, which can dramatically improve its artistry. Although text effects are extensively u…

cs.CV2019★ 17 cited

Controllable Artistic Text Style Transfer via Shape-Matching GAN

Shuai Yang, Zhangyang Wang, Zhaowen Wang +3

Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer methods have considered…

cs.CV2018★ 2 cited

TET-GAN: Text Effects Transfer via Stylization and Destylization

Shuai Yang, Jiaying Liu, Wenjing Wang +1

Text effects transfer technology automatically makes the text dramatically more impressive. However, previous style transfer methods either study the model for general style, which…

cs.CV2018★ 29 cited

Context-Aware Text-Based Binary Image Stylization and Synthesis

Shuai Yang, Jiaying Liu, Wenhan Yang +1

In this work, we present a new framework for the stylization of text-based binary images. First, our method stylizes the stroke-based geometric shape like text, symbols and icons i…

cs.CV2016★ 2 cited

Awesome Typography: Statistics-Based Text Effects Transfer

Shuai Yang, Jiaying Liu, Zhouhui Lian +1

In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effe…