1 citations · 2 across the 6 of their papers we have counts for
6 papers
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Zhongjie Duan, Wenmeng Zhou, Cen Chen +2
Recently, advancements in video synthesis have attracted significant attention. Video synthesis models such as AnimateDiff and Stable Video Diffusion have demonstrated the practica…
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
Zhongjie Duan, Chengyu Wang, Cen Chen +2
Toon shading is a type of non-photorealistic rendering task of animation. Its primary purpose is to render objects with a flat and stylized appearance. As diffusion models have asc…
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
Zhongjie Duan, Chengyu Wang, Cen Chen +3
With the emergence of diffusion models and rapid development in image processing, it has become effortless to generate fancy images in tasks such as style transfer and image editin…
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts
Yunshi Lan, Xiang Li, Xin Liu +3
Zero-shot Visual Question Answering (VQA) is a prominent vision-language task that examines both the visual and textual understanding capability of systems in the absence of traini…
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Ruyao Xu, Taolin Zhang, Chengyu Wang +6
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) improve the performance of various downstream NLP tasks by injecting knowledge facts from large-scale Knowledge Graphs (KGs)…
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation
Yuanyuan Liang, Jianing Wang, Hanlun Zhu +3
The task of Question Generation over Knowledge Bases (KBQG) aims to convert a logical form into a natural language question. For the sake of expensive cost of large-scale question…