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Yan Hong

8 papers hereh-index 463 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI1
  • stat.ML1
same name
  • Yan Hong — 16 papers, h 7
  • Yan Hong — 12 papers, h 9
  • Yan Hong — 5 papers, h 1
  • Yan Hong — 3 papers, h 4
  • Yan Hong — 3 papers, h 3
  • Yan Hong — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedWildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection

3 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

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★ 3 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.