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TALC:Time-Aligned Captions for Multi-Scene Text-to-Video Generation
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2026-03-05 13:15:00
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TALC More Research VideoCon TALC:Time-Aligned Captions for Multi-Scene Text-to-Video Generation Hritik Bansal 1 , Yonatan Bitton 2 , Michal Yarom 2 , Idan Szpektor 2 , Aditya Grover 1 , Kai-Wei Chang 1 , 1 University of California Los Angeles, 2 Google Research Paper Code 🤗 Dataset 🤗 Model Abstract Recent advances in diffusion-based generative modeling have led to the development of text-to-video (T2V) models that can generate high-quality videos conditioned on a text prompt. Most of these T2V models often produce single-scene video clips that depict an entity performing a particular action (e.g., `a red panda climbing a tree'). However, it is pertinent to generate multi-scene videos since they are ubiquitous in the real-world (e.g., `a red panda climbing a tree' followed by `the red panda sleeps on the top of the tree'). To generate multi-scene videos from the pretrained T2V model, we intro...
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