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20232026
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cs.CV2026

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection

Hang Wang, Chao Shen, Chenhao Lin +3

The proliferation of advanced AI video synthesis techniques poses an unprecedented challenge to digital video authenticity. Existing AI-generated video (AIGV) detection methods pri…

cs.CV2025

D3: Training-Free AI-Generated Video Detection Using Second-Order Features

Chende Zheng, Ruiqi suo, Chenhao Lin +6

The evolution of video generation techniques, such as Sora, has made it increasingly easy to produce high-fidelity AI-generated videos, raising public concern over the disseminatio…

cs.CV2025

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion

Fangfu Liu, Hao Li, Jiawei Chi +4

Recovering 3D structures with open-vocabulary scene understanding from 2D images is a fundamental but daunting task. Recent developments have achieved this by performing per-scene…

cs.CV2024

Generating Human Motion in 3D Scenes from Text Descriptions

Zhi Cen, Huaijin Pi, Sida Peng +5

Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However, only a few works consider human-scene intera…

cs.CV2023

Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models

Huaijin Pi, Sida Peng, Minghui Yang +2

This paper presents a novel approach to generating the 3D motion of a human interacting with a target object, with a focus on solving the challenge of synthesizing long-range and d…