5 papers
ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance
Yang Yang, Feifan Meng, Han Fang +1
Diffusion models have achieved remarkable success in image generation, yet their training is predominantly driven by full-reference objectives that enforce pixel-wise similarity to…
Quantum-Inspired Fine-Tuning for Few-Shot AIGC Detection via Phase-Structured Reparameterization
Kaiyang Xing, Han Fang, Zhaoyun Chen +4
Recent studies show that quantum neural networks (QNNs) generalize well in few-shot regimes. To extend this advantage to large-scale tasks, we propose Q-LoRA, a quantum-enhanced fi…
SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
Yang Yang, Xinze Zou, Zehua Ma +2
The rise of text-to-video generation models has raised growing concerns over content authenticity, copyright protection, and malicious misuse. Watermarking serves as an effective m…
Q-Tag: Watermarking Quantum Circuit Generative Models
Yang Yang, Yuzhu Long, Han Fang +4
Quantum cloud platforms have become the most widely adopted and mainstream approach for accessing quantum computing resources, due to the scarcity and operational complexity of qua…
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection Method
Juncong Xu, Yang Yang, Han Fang +2
The explosive growth of generative AI has saturated the internet with AI-generated images, raising security concerns and increasing the need for reliable detection methods. The pri…