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Parallelized Autoregressive Visual Generation

19 December 2024

Papers citing "Parallelized Autoregressive Visual Generation"

20 / 70 papers shown

Title
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 141 3,015 0 17 Dec 2020
Scaling Laws for Autoregressive Generative Modeling T. Henighan Jared Kaplan Mor Katz Mark Chen Christopher Hesse ... Nick Ryder Daniel M. Ziegler John Schulman Dario Amodei Sam McCandlish 128 433 0 28 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.1K 42,687 0 28 May 2020
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song Chenlin Meng Renjie Liao Stefano Ermon 87 29 0 10 Feb 2020
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 160 867 0 15 Apr 2019
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly EGVM VGen 101 748 0 03 Dec 2018
Blockwise Parallel Decoding for Deep Autoregressive Models Mitchell Stern Noam M. Shazeer Ashley J. Llorens 86 238 0 07 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 296 5,415 0 28 Sep 2018
Semi-Autoregressive Neural Machine Translation Chunqi Wang Ji Zhang Haiqing Chen 85 89 0 26 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 470 10,386 0 10 Jul 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 161 1,691 0 15 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 257 5,093 0 02 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 976 133,279 0 12 Jun 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 143 945 0 19 Jan 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 203 1,735 0 01 Dec 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 284 2,521 0 16 Jun 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 531 2,581 0 25 Jan 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 255 1,598 0 09 Mar 2015
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 209 6,178 0 03 Dec 2012
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 240 807 0 04 Sep 2008