Search Results for author: Ekaterina Deyneka

Found 2 papers, 1 papers with code

Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

1 code implementation • CVPR 2024 • Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Ekaterina Deyneka, Hsiang-wei Chao, Byung Eun Jeon, Yuwei Fang, Hsin-Ying Lee, Jian Ren, Ming-Hsuan Yang, Sergey Tulyakov

Next, we finetune a retrieval model on a small subset where the best caption of each video is manually selected and then employ the model in the whole dataset to select the best caption as the annotation.

Text Retrieval Video Captioning +2

490

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Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

no code implementations • CVPR 2024 • Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov

Since video content is highly redundant, we argue that naively bringing advances of image models to the video generation domain reduces motion fidelity, visual quality and impairs scalability.

Ranked #1 on Text-to-Video Generation on MSR-VTT

Image Generation Text-to-Video Generation +1

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