28 citations · 43 across the 6 of their papers we have counts for
4 papers · 1 filter
MegaAvatar: Controllable Talking Avatar Generation
Junyao Gao, Sibo Liu, Weidong Zhang +2
This report presents \textbf{MegaAvatar}, a controllable talking avatar generation framework built on top of the Wan2.2-TI2V-5B model. Compared with previous talking-avatar methods…
MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition
Junyao Gao, Sibo Liu, Jiaxing Li +4
Image style is a highly abstract, human-constructed concept shaped by a range of visual factors and intrinsically entangled with content, yet a unified and explicit definition of i…
MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping
Junyao Gao, Sibo Liu, Jiaxing Li +6
In this paper, we introduce MegaStyle, a novel and scalable data curation pipeline that constructs an intra-style consistent, inter-style diverse and high-quality style dataset. We…
LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions
Songhao Han, Le Zhuo, Yue Liao +1
Vision-language models (VLMs) offer a promising paradigm for image classification by comparing the similarity between images and class embeddings. A critical challenge lies in craf…