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cs.CV2026
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
Ruiqi Liu, Manni Cui, Ziheng Qin +12
High-fidelity generative models have narrowed the perceptual gap between synthetic and real images, posing serious threats to media security. Most existing AI-generated image (AIGI…
cs.CV2025
LlamaSeg: Image Segmentation via Autoregressive Mask Generation
Jiru Deng, Tengjin Weng, Tianyu Yang +3
We present \textbf{LlamaSeg}, a visual autoregressive framework that unifies multiple image segmentation tasks via natural language instructions. By reformulating segmentation as v…
cs.CV2024
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt
Zhiqi Huang, Huixin Xiong, Haoyu Wang +2
Text-to-image generation has witnessed great progress, especially with the recent advancements in diffusion models. Since texts cannot provide detailed conditions like object appea…