3 papers
cs.CV2026
Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning
Qin Zhang, Peiyu Jing, Hong-Xing Yu +7
Video generation models are increasingly used as world simulators for storytelling, simulation, and embodied AI. As these models advance, a key question arises: do generated videos…
cs.MM2025
Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation
Chetwin Low, Weimin Wang, Calder Katyal
Audio-video generation has often relied on complex multi-stage architectures or sequential synthesis of sound and visuals. We introduce Ovi, a unified paradigm for audio-video gene…
cs.SD2025
TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models
Chetwin Low, Weimin Wang
In this paper, we present TalkingMachines -- an efficient framework that transforms pretrained video generation models into real-time, audio-driven character animators. TalkingMach…