2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Xingyu Fu, Siyi Liu, Yinuo Xu +13
Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have advanced rapidly, a critical dimension -- whether humans can detect…
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
Yiming Huang, Weilin Wan, Yue Yang +3
Text-to-motion models excel at efficient human motion generation, but existing approaches lack fine-grained controllability over the generation process. Consequently, modifying sub…
Evaluating Vision-Language Models on Bistable Images
Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch
Bistable images, also known as ambiguous or reversible images, present visual stimuli that can be seen in two distinct interpretations, though not simultaneously by the observer. I…
Holodeck: Language Guided Generation of 3D Embodied AI Environments
Yue Yang, Fan-Yun Sun, Luca Weihs +11
3D simulated environments play a critical role in Embodied AI, but their creation requires expertise and extensive manual effort, restricting their diversity and scope. To mitigate…