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Zhenhang Li

2 accepted papers

2025

The Role of Video Generation in Enhancing Data-Limited Action Understanding

IJCAI 2025

Video action understanding tasks in real-world scenarios often suffer from data limitations. In this paper, we address the data-limited action understanding problem by bridging data scarcity. We propose a novel method that leverages a text-to-video diffusion transformer to generate annotated data fo

Cited by 0SourcePDFScholar
2024

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

NeurIPS 2024spotlight

Centred on content modification and style preservation, Scene Text Editing (STE) remains a challenging task despite considerable progress in text-to-image synthesis and text-driven image manipulation recently. GAN-based STE methods generally encounter a common issue of model generalization, while Di…