4 papers
SMooGPT: Stylized Motion Generation using Large Language Models
Lei Zhong, Yi Yang, Changjian Li
Stylized motion generation is actively studied in computer graphics, especially benefiting from the rapid advances in diffusion models. The goal of this task is to produce a novel…
Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation
Lei Zhong, Chuan Guo, Yiming Xie +2
Storyboarding is widely used for creating 3D animations. Animators use the 2D sketches in storyboards as references to craft the desired 3D animations through a trial-and-error pro…
VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation
Jiawei Wang, Zhiming Cui, Changjian Li
This paper presents VQ-SGen, a novel algorithm for high-quality creative sketch generation. Recent approaches have framed the task as pixel-based generation either as a whole or pa…
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
Jiawei Wang, Changjian Li
Sketch semantic segmentation is a well-explored and pivotal problem in computer vision involving the assignment of pre-defined part labels to individual strokes. This paper present…