6 papers
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…
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…
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…
Custom Cloth Creation and Virtual Try-on for Everyone
Pei Chen, Heng Wang, Sainan Sun +5
This demo showcases a simple tool that utilizes AIGC technology, enabling both professional designers and regular users to easily customize clothing for their digital avatars. Cust…
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…
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…