collaborators

5 papers

cs.CV2026

EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment

ZiAn Wang, Ruiqi Liu, Zhengbo Zhang +10

Determining whether an image is AI-generated does not establish whether the situation it depicts is factually supported. We formulate Image Factuality Assessment: given an image an…

cs.CV2026

AniPrO: Interpretable Anime Image Provenance Detection via Multi-Dimensional Semantic Reasoning

Yan Liu, Baoxiang Huang, Zi'an Wang +1

As generative AI becomes increasingly used in anime-style image creation, distinguishing human-drawn, AI-inpainted, and text-to-image images is important for copyright attribution,…

cs.CV2026

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation

Junsong Chen, Jincheng Yu, Yitong Li +11

We introduce SANA-Video 2.0, a hybrid video diffusion transformer instantiated at 5B and 14B scales under a unified architecture. Designed to generate high-quality video up to 720p…

cs.CV2026

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection

Manni Cui, Ziheng Qin, ZiAn Wang +8

AI-generated videos (AIGVs) typically contain subtle temporal artifacts that arise from inter-frame inconsistencies rather than within individual frames. A detector that captures s…

cs.CV2026

GlobalForge: Towards Robust AI-Generated Image Detection

Manni Cui, Ruiqi Liu, Dianyuan Zou +8

AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance drops sharply after images are propagated through real-world channels. We tra…