activity
20242026
most citedColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text

3 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Towards Interactive Intelligence for Digital Humans

Yiyi Cai, Xuangeng Chu, Xiwei Gao +16

We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolution. To realize thi…

cs.CV2025

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…

cs.GR2025

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…

cs.CV2025

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…

cs.CV2025

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…