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This study aims to achieve more precise and versatile object control in image-to-video (I2V) generation.
An algorithm for the machine calculation of complex fourier series
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Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
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U-net: Convolutional networks for biomedical image segmentation
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
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TGANv2: Efficient training of large models for video generation with multiple subsampling layers
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Mocogan: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 2018
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Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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Aidan Clark, Jeff Donahue, and Karen Simonyan · 2019
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pytorch-fid: FID Score for PyTorch
Maximilian Seitzer · 2020
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G3an: Disentangling appearance and motion for video generation
Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva · 2020
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Light Field Networks: Neural scene representations with single-evaluation rendering
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, and Fredo Durand · 2021
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Latent video diffusion models for high-fidelity video generation with arbitrary lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, and Qifeng Chen · 2022
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Video diffusion models
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