暂无分享,去创建一个
Evgeny Burnaev | Denis Volkhonskiy | Denis Zorin | Alexey Artemov | Ruslan Rakhimov | D. Zorin | Evgeny Burnaev | Ruslan Rakhimov | Denis Volkhonskiy | Alexey Artemov
[1] Sergey Levine,et al. Self-Supervised Visual Planning with Temporal Skip Connections , 2017, CoRL.
[2] Xiaogang Wang,et al. Video Generation From Single Semantic Label Map , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Fabio Viola,et al. The Kinetics Human Action Video Dataset , 2017, ArXiv.
[4] Jeff Donahue,et al. Adversarial Video Generation on Complex Datasets , 2019 .
[5] Marc'Aurelio Ranzato,et al. Video (language) modeling: a baseline for generative models of natural videos , 2014, ArXiv.
[6] Pieter Abbeel,et al. PixelSNAIL: An Improved Autoregressive Generative Model , 2017, ICML.
[7] Yann LeCun,et al. Deep multi-scale video prediction beyond mean square error , 2015, ICLR.
[8] Jianfeng Gao,et al. Feature Quantization Improves GAN Training , 2020, ICML.
[9] Philip S. Yu,et al. PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning , 2018, ICML.
[10] Stephen Lin,et al. An Empirical Study of Spatial Attention Mechanisms in Deep Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[11] Diego de Las Casas,et al. Transformation-based Adversarial Video Prediction on Large-Scale Data , 2020, ArXiv.
[12] Jan Kautz,et al. Video-to-Video Synthesis , 2018, NeurIPS.
[13] Alex Graves,et al. Conditional Image Generation with PixelCNN Decoders , 2016, NIPS.
[14] Tali Dekel,et al. SinGAN: Learning a Generative Model From a Single Natural Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Ali Razavi,et al. Generating Diverse High-Fidelity Images with VQ-VAE-2 , 2019, NeurIPS.
[16] Ilya Sutskever,et al. Jukebox: A Generative Model for Music , 2020, ArXiv.
[17] Sergey Levine,et al. Unsupervised Learning for Physical Interaction through Video Prediction , 2016, NIPS.
[18] Alex Graves,et al. Video Pixel Networks , 2016, ICML.
[19] Luc Van Gool,et al. Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs , 2018, ArXiv.
[20] Juan Carlos Niebles,et al. Learning to Decompose and Disentangle Representations for Video Prediction , 2018, NeurIPS.
[21] Jan Kautz,et al. MoCoGAN: Decomposing Motion and Content for Video Generation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Sergey Levine,et al. VideoFlow: A Flow-Based Generative Model for Video , 2019, ArXiv.
[23] Nal Kalchbrenner,et al. Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling , 2018, ICLR.
[24] Antonio Torralba,et al. Generating Videos with Scene Dynamics , 2016, NIPS.
[25] Shunta Saito,et al. TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers , 2018, ArXiv.
[26] Oriol Vinyals,et al. Neural Discrete Representation Learning , 2017, NIPS.
[27] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[28] Nitish Srivastava,et al. Unsupervised Learning of Video Representations using LSTMs , 2015, ICML.
[29] Sergey Levine,et al. Stochastic Adversarial Video Prediction , 2018, ArXiv.
[30] Yoshihiro Kanamori,et al. Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis , 2019 .
[31] Jakob Uszkoreit,et al. Scaling Autoregressive Video Models , 2019, ICLR.
[32] Tim Salimans,et al. Axial Attention in Multidimensional Transformers , 2019, ArXiv.
[33] Andrew Zisserman,et al. A Short Note about Kinetics-600 , 2018, ArXiv.
[34] Viorica Patraucean,et al. Spatio-temporal video autoencoder with differentiable memory , 2015, ArXiv.
[35] Yunbo Wang,et al. Eidetic 3D LSTM: A Model for Video Prediction and Beyond , 2019, ICLR.
[36] Petros Koumoutsakos,et al. ContextVP: Fully Context-Aware Video Prediction , 2017, ECCV.
[37] Xi Chen,et al. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications , 2017, ICLR.
[38] Rob Fergus,et al. Stochastic Video Generation with a Learned Prior , 2018, ICML.
[39] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[40] Ning Xu,et al. End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Moustapha Cissé,et al. Efficient softmax approximation for GPUs , 2016, ICML.
[42] Jan Kautz,et al. Few-shot Video-to-Video Synthesis , 2019, NeurIPS.
[43] Alexei Baevski,et al. Adaptive Input Representations for Neural Language Modeling , 2018, ICLR.
[44] Tatsuya Harada,et al. Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture , 2017, AAAI.
[45] Shunta Saito,et al. Temporal Generative Adversarial Nets with Singular Value Clipping , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[46] Dit-Yan Yeung,et al. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.
[47] Aurko Roy,et al. Fast Decoding in Sequence Models using Discrete Latent Variables , 2018, ICML.
[48] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[49] Vighnesh Birodkar,et al. Unsupervised Learning of Disentangled Representations from Video , 2017, NIPS.