4 papers
Partially Shared Concept Bottleneck Models
Delong Zhao, Qiang Huang, Di Yan +2
Concept Bottleneck Models (CBMs) enhance interpretability by introducing a layer of human-understandable concepts between inputs and predictions. While recent methods automate conc…
Enhancing Reference-based Sketch Colorization via Separating Reference Representations
Dingkun Yan, Xinrui Wang, Zhuoru Li +4
Reference-based sketch colorization methods have garnered significant attention for the potential application in animation and digital illustration production. However, most existi…
ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
Dingkun Yan, Xinrui Wang, Yusuke Iwasawa +3
Reference-based sketch colorization methods have garnered significant attention due to their potential applications in the animation production industry. However, most existing met…
Image Referenced Sketch Colorization Based on Animation Creation Workflow
Dingkun Yan, Xinrui Wang, Zhuoru Li +4
Sketch colorization plays an important role in animation and digital illustration production tasks. However, existing methods still meet problems in that text-guided methods fail t…