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We study how to represent a video with implicit neural representations (INRs).
A method for the construction of minimum-redundancy codes
David A Huffman · 1952
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Mpeg: A video compression standard for multimedia applications
Didier Le Gall · 1991
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Nonlinear dimensionality reduction by locally linear embedding
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Overview of the h. 264/avc video coding standard
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Overview of the high efficiency video coding (hevc) standard
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Adam: A method for stochastic optimization
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SGDR: stochastic gradient descent with warm restarts
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Video compression through image interpolation
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A style-based generator architecture for generative adversarial networks
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Deep video inpainting
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
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Hierarchical autoregressive modeling for neural video compression
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Learning for video compression with hierarchical quality and recurrent enhancement
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Scale-space flow for end-to-end optimized video compression
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Balle, Sung Jin Hwang, and George Toderici · 2020
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Acorn: adaptive coordinate networks for neural scene representation
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, and Gordon Wetzstein · 2021
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein · 2020
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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Cited alongside, same era.
Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T Barron, and Ren Ng · 2020
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Uvg dataset: 50/120fps 4k sequences for video codec analysis and development
Alexandre Mercat, Marko Viitanen, and Jarno Vanne · 2020
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Learned initializations for optimizing coordinate-based neural representations
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, and Ren Ng · 2021
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Nerv: Neural representations for videos
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser Nam Lim, and Abhinav Shrivastava · 2021
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Fvc: A new framework towards deep video compression in feature space
Zhihao Hu, Guo Lu, and Dong Xu · 2021
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Efficient video compression via content-adaptive super-resolution
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Deep contextual video compression
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Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang · 2021
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Fuseformer: Fusing fine-grained information in transformers for video inpainting
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
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