Zhenbei Wu

ORCID: 0009-0005-2421-2651
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Human Motion and Animation
  • Video Analysis and Summarization
  • Augmented Reality Applications
  • Advanced Vision and Imaging
  • Multimodal Machine Learning Applications

Beijing University of Posts and Telecommunications
2023-2025

Touchscreen IoT devices, such as smartphones and tablets, have been seamlessly integrated into our daily lives. Drawing sketches on the touch screen is an extremely convenient mode of interaction, when combined with generative AI, it makes customized data generation digital twin based devices more straightforward. However, scarcity free-hand sketch construction data-driven AI models a thorny issue. Despite emergence some large-scale datasets, these datasets primarily consist at single-object...

10.1109/jiot.2024.3523382 article EN IEEE Internet of Things Journal 2025-01-01

The scarcity of free-hand sketch presents a challenging problem. Despite the emergence some large-scale datasets, these datasets primarily consist sketches at single-object level. There continues to be lack paired for scene sketches. In this paper, we propose self-supervised method generation that does not rely on any existing sketch, enabling transformation into To accomplish this, introduce vector captioning and semantic expansion. Additionally, design network incorporates fusion...

10.48550/arxiv.2405.18801 preprint EN arXiv (Cornell University) 2024-05-29

Sketch is an abstract visual representation that can be recovered as natural photographs in the human mind. Many researchers are drawn to work on translating sketches photographs. Since conventional sketch-to-image models designed generate images with a single object subject, generating scene image multiple classes of objects tricky problem. To tackle this challenge, we propose first generation method based diffusion models. Our model uses encoder summarize contour and class features sketch...

10.1109/icme55011.2023.00357 article EN 2022 IEEE International Conference on Multimedia and Expo (ICME) 2023-07-01
Coming Soon ...