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cs.CV2026

Source-Face Authenticity Detection for 3D Gaussian Heads Reconstructed from a Single Portrait: A Benchmark and Dedicated Detector

Yujie Gao, Zijian Yu, Yan Hong +2

Recent advances in single-image 3D Gaussian head reconstruction have enabled highly realistic and freely renderable digital heads from a single portrait. However, reconstruction an…

cs.CV2026

Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image

Yujie Gao, Yao Xiao, Xiangnan Zhu +4

Reconstructing a complete 3D head from a single portrait remains challenging because existing methods still face a sharp quality-speed trade-off: high-fidelity pipelines often rely…

cs.CV2025

GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection

Haozhen Yan, Yan Hong, Suning Lang +6

With generative models becoming increasingly sophisticated and diverse, detecting AI-generated images has become increasingly challenging. While existing AI-genereted Image detecto…

cs.CV2025

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.CV2025

High-Quality 3D Head Reconstruction from Any Single Portrait Image

Jianfu Zhang, Yujie Gao, Jiahui Zhan +4

In this work, we introduce a novel high-fidelity 3D head reconstruction method from a single portrait image, regardless of perspective, expression, or accessories. Despite signific…