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20232025
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cs.CV2025

FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction

Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou +1

Improving the diversity of generated results while maintaining high visual quality remains a significant challenge in image generation tasks. Fractal Generative Models (FGMs) are e…

cs.CV2024

Saliency Guided Optimization of Diffusion Latents

Xiwen Wang, Jizhe Zhou, Xuekang Zhu +2

With the rapid advances in diffusion models, generating decent images from text prompts is no longer challenging. The key to text-to-image generation is how to optimize the results…

cs.CV2024

M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask

Xinyu Yang, Xiaochen Ma, Xuekang Zhu +5

In the field of image manipulation localization (IML), the small quantity and poor quality of existing datasets have always been major issues. A dataset containing various types of…

cs.CV2024

Research about the Ability of LLM in the Tamper-Detection Area

Xinyu Yang, Jizhe Zhou

In recent years, particularly since the early 2020s, Large Language Models (LLMs) have emerged as the most powerful AI tools in addressing a diverse range of challenges, from natur…

cs.CV2023

Manipulation Mask Generator: High-Quality Image Manipulation Mask Generation Method Based on Modified Total Variation Noise Reduction

Xinyu Yang, Jizhe Zhou

In artificial intelligence, any model that wants to achieve a good result is inseparable from a large number of high-quality data. It is especially true in the field of tamper dete…