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cs.CV2026

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations

Haozhen Yan, Yan Hong, Jiahui Zhan +5

Recent advances in image manipulation have enabled highly photorealistic content generation, but also lowered the barrier to arbitrary editing, raising concerns about multimedia au…

cs.CV2024

User-Friendly Customized Generation with Multi-Modal Prompts

Linhao Zhong, Yan Hong, Wentao Chen +4

Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation. Current customization techniques often neces…

cs.CV2024

Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation

Tianyi Chen, Jianfu Zhang, Yan Hong +2

Image inpainting, the task of reconstructing missing segments in corrupted images using available data, faces challenges in ensuring consistency and fidelity, especially under info…

cs.CV2024

ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image

Yan Hong, Jianfu Zhang

Recent advancements in personalizing text-to-image (T2I) diffusion models have shown the capability to generate images based on personalized visual concepts using a limited number…

cs.CV2024

WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection

Yan Hong, Jianfu Zhang

The extraordinary ability of generative models enabled the generation of images with such high quality that human beings cannot distinguish Artificial Intelligence (AI) generated i…