1 citations · 1 across the 7 of their papers we have counts for
6 papers · 1 filter
Towards High-resolution and Disentangled Reference-based Sketch Colorization
Dingkun Yan, Xinrui Wang, Ru Wang +5
Sketch colorization is a critical task for automating and assisting in the creation of animations and digital illustrations. Previous research identified the primary difficulty as…
SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection
Zhengyi Liu, Xinrui Wang, Xianyong Fang +2
RGB-T salient object detection (SOD) aims to segment attractive objects by combining RGB and thermal infrared images. To enhance performance, the Segment Anything Model has been fi…
MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
Yanbo Ding, Xirui Hu, Zhizhi Guo +6
Character image animation has rapidly advanced with the rise of digital humans. However, existing methods rely largely on 2D-rendered pose images for motion guidance, which limits…
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…
SSFam: Scribble Supervised Salient Object Detection Family
Zhengyi Liu, Sheng Deng, Xinrui Wang +3
Scribble supervised salient object detection (SSSOD) constructs segmentation ability of attractive objects from surroundings under the supervision of sparse scribble labels. For th…