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Vahram Tadevosyan

2 accepted papers

2025

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

CVPR 2025poster

Text-to-video diffusion models enable the generation of high-quality videos that follow text instructions, simplifying the process of producing diverse and individual content. Current methods excel in generating short videos (up to 16s), but produce hard-cuts when naively extended to long video synt…

2023

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

ICCV 2023oral

Recent text-to-video generation approaches rely on computationally heavy training and require large-scale video datasets. In this paper, we introduce a new task, zero-shot text-to-video generation, and propose a low-cost approach (without any training or optimization) by leveraging the power of exis…

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