Fetching the paper…
Reading the bibliography…
In this paper, we aim to improve the state-of-the-art video generative adversarial networks (GANs) with a view towards multi-functional applications.
A new log-polar mapping for space variant imaging.: Application to face detection and tracking
Jurie, F.: · 1999
Earlier work this paper cites.
Texture synthesis by non-parametric sampling
Efros, A.A., Leung, T.K.: · 1999
Earlier work this paper cites.
Tri-state median filter for image denoising
Chen, T., Ma, K.K., Chen, L.H.: · 1999
Earlier work this paper cites.
Image inpainting
Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: · 2000
Earlier work this paper cites.
Image analogies
Hertzmann, A., Jacobs, C.E., Oliver, N., Curless, B., Salesin, D.H.: · 2001
Earlier work this paper cites.
Transferring color to greyscale images
Welsh, T., Ashikhmin, M., Mueller, K.: · 2002
Earlier work this paper cites.
Colorization using optimization
Levin, A., Lischinski, D., Weiss, Y.: · 2004
Earlier work this paper cites.
An adaptive edge detection based colorization algorithm and its applications
Huang, Y.C., Tung, Y.S., Chen, J.C., Wang, S.W., Wu, J.L.: · 2005
Earlier work this paper cites.
Colorization by example
Ironi, R., Cohen-Or, D., Lischinski, D.: · 2005
Earlier work this paper cites.
Fast image and video colorization using chrominance blending
Yatziv, L., Sapiro, G.: · 2006
Earlier work this paper cites.
Image completion using global optimization
Komodakis, N.: · 2006
Earlier work this paper cites.
Natural image colorization
Luan, Q., Wen, F., Cohen-Or, D., Liang, L., Xu, Y.Q., Shum, H.Y.: · 2007
Earlier work this paper cites.
Scene completion using millions of photographs
Hays, J., Efros, A.A.: · 2007
Earlier work this paper cites.
Automatic image colorization via multimodal predictions
Charpiat, G., Hofmann, M., Schölkopf, B.: · 2008
Earlier work this paper cites.
Intrinsic colorization
Liu, X., Wan, L., Qu, Y., Wong, T.T., Lin, S., Leung, C.S., Heng, P.A.: · 2008
Earlier work this paper cites.
Patchmatch: A randomized correspondence algorithm for structural image editing
Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: · 2009
Earlier work this paper cites.
Deconvolutional networks
Zeiler, M.D., Krishnan, D., Taylor, G.W., Fergus, R.: · 2010
Earlier work this paper cites.
Semantic colorization with internet images
Chia, A.Y.S., Zhuo, S., Gupta, R.K., Tai, Y.W., Cho, S.Y., Tan, P., Lin, S.: · 2011
Earlier work this paper cites.
Video inpainting on digitized vintage films via maintaining spatiotemporal continuity
Tang, N.C., Hsu, C.T., Su, C.W., Shih, T.K., Liao, H.Y.M.: · 2011
Earlier work this paper cites.
Background inpainting for videos with dynamic objects and a free-moving camera
Granados, M., Kim, K.I., Tompkin, J., Kautz, J., Theobalt, C.: · 2012
Earlier work this paper cites.
Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter
Lu, C.T., Chou, T.C.: · 2012
Earlier work this paper cites.
3d convolutional neural networks for human action recognition
Ji, S., Xu, W., Yang, M., Yu, K.: · 2013
Earlier work this paper cites.
Patch to the future: Unsupervised visual prediction
Walker, J., Gupta, A., Hebert, M.: · 2014
Earlier work this paper cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Cited alongside, same era.
Video (language) modeling: a baseline for generative models of natural videos
Ranzato, M., Szlam, A., Bruna, J., Mathieu, M., Collobert, R., Chopra, S.: · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D., Ba, J.: · 2014
Cited alongside, same era.
Conditional generative adversarial nets
Mirza, M., Osindero, S.: · 2014
Cited alongside, same era.
Learning deep features for scene recognition using places database
Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: · 2014
Cited alongside, same era.
High-resolution image inpainting using multi-scale neural patch synthesis
Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H.: · 2016
Later among the works it cites.
Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: · 2016
Later among the works it cites.
Unsupervised learning for physical interaction through video prediction
Finn, C., Goodfellow, I., Levine, S.: · 2016
Later among the works it cites.
Kalchbrenner, N., Oord, A.v.d., Simonyan, K., Danihelka, I., Vinyals, O., Graves, A., Kavukcuoglu, K.: · 2016
Later among the works it cites.
Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
Xue, T., Wu, J., Bouman, K., Freeman, B.: · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Dense optical flow prediction from a static image
Walker, J., Gupta, A., Hebert, M.: · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., Chintala, S.: · 2015
Cited alongside, same era.
Deep generative image models using a laplacian pyramid of adversarial networks
Denton, E.L., Chintala, S., Fergus, R., et al.: · 2015
Cited alongside, same era.
Video inpainting with short-term windows: application to object removal and error concealment
Ebdelli, M., Le Meur, O., Guillemot, C.: · 2015
Cited alongside, same era.
Recurrent network models for kinematic tracking
Fragkiadaki, K., Levine, S., Malik, J.: · 2015
Cited alongside, same era.
Deep multi-scale video prediction beyond mean square error
Mathieu, M., Couprie, C., LeCun, Y.: · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
He, K., Zhang, X., Ren, S., Sun, J.: · 2015
Cited alongside, same era.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
Later among the works it cites.
Ba, J.L., Kiros, J.R., Hinton, G.E.: · 2016
Later among the works it cites.
Energy-based generative adversarial network
Zhao, J., Mathieu, M., LeCun, Y.: · 2016
Later among the works it cites.
Yfcc100m: The new data in multimedia research
Thomee, B., Shamma, D.A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., Li, L.J.: · 2016
Later among the works it cites.
Densely connected convolutional networks
Huang, G., Liu, Z., Weinberger, K.Q., van der Maaten, L.: · 2016
Later among the works it cites.
Generating the future with adversarial transformers
Vondrick, C., Torralba, A.: · 2017
Closest in time.
Mocogan: Decomposing motion and content for video generation
Tulyakov, S., Liu, M.Y., Yang, X., Kautz, J.: · 2017
Closest in time.
Temporal generative adversarial nets with singular value clipping
Saito, M., Matsumoto, E., Saito, S.: · 2017
Closest in time.
Arjovsky, M., Chintala, S., Bottou, L.: · 2017
Closest in time.
Improved training of wasserstein gans
Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: · 2017
Closest in time.
Progressive growing of gans for improved quality, stability, and variation
Karras, T., Aila, T., Laine, S., Lehtinen, J.: · 2017
Closest in time.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: · 2017
Closest in time.
A learning-based approach for automatic image and video colorization
Gupta, R.K., Chia, A.Y.S., Rajan, D., Zhiyong, H.: · 2017
Closest in time.
MOTION-CONSISTENT VIDEO INPAINTING
Le, T.T., Almansa, A., Gousseau, Y., Masnou, S.: · 2017
Closest in time.
Forecasting human dynamics from static images
Chao, Y.W., Yang, J., Price, B., Cohen, S., Deng, J.: · 2017
Closest in time.
Unsupervised learning of long-term motion dynamics for videos
Luo, Z., Peng, B., Huang, D.A., Alahi, A., Fei-Fei, L.: · 2017
Closest in time.
Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
Real, E., Shlens, J., Mazzocchi, S., Pan, X., Vanhoucke, V.: · 2017
Closest in time.