Parallel Multiscale Autoregressive Density Estimation

10 March 2017

Scott E. Reed

Aaron van den Oord

Nal Kalchbrenner

Sergio Gomez Colmenarejo

Papers citing "Parallel Multiscale Autoregressive Density Estimation"

50 / 55 papers shown

Title
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities X. Zhang Jintao Guo Shanshan Zhao Minghao Fu Lunhao Duan Guo-Hua Wang Qing-Guo Chen Zhao Xu Weihua Luo Kaifu Zhang DiffM 64 0 0 05 May 2025
EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation Zhe Dong Yuzhe Sun Tianzhu Liu Wangmeng Zuo Yanfeng Gu 51 0 0 28 Apr 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 38 0 0 21 Jun 2024
Neural Video Compression with Diverse Contexts Jiahao Li Bin Li Yan Lu 24 142 0 28 Feb 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 19 4 0 29 Dec 2022
ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression Yiqi Jin Z. Zu Tongda Xu Yuhuan Lin Yan Wang 3DPC 20 3 0 20 Nov 2022
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks Qingrong Cheng Keyu Wen X. Gu VLM EGVM 24 16 0 20 Aug 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 29 0 0 01 Jun 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 16 116 0 25 Mar 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network Hochang Rhee Y. Jang Seyun Kim N. Cho 25 29 0 13 Dec 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 10 2 0 17 Oct 2021
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis Shulan Ruan Yong Zhang Kun Zhang Yanbo Fan Fan Tang Qi Liu Enhong Chen 28 88 0 27 Aug 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 10 3 0 26 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 12 4 0 04 Jun 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs Henning Schulze Dogucan Yaman Alexander Waibel GAN 19 3 0 26 Apr 2021
3D Semantic Scene Completion: a Survey Luis Roldão Raoul de Charette Anne Verroust-Blondet 3DV 17 92 0 12 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 477 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 19 199 0 05 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 22 66 0 02 Mar 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 14 176 0 25 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation Han Zhang Jing Yu Koh Jason Baldridge Honglak Lee Yinfei Yang GAN 20 355 0 12 Jan 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 31 336 0 20 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 24 41 0 26 Oct 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 8 356 0 25 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 28 31 0 22 Jun 2020
SegAttnGAN: Text to Image Generation with Segmentation Attention Yuchuan Gou Qiancheng Wu Minghao Li Bo Gong Mei Han VLM 9 22 0 25 May 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 25 16 0 23 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 24 87 0 17 Feb 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park K. T. Carr Stephan Zhang Yisong Yue Rose Yu 12 14 0 13 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 13 56 0 20 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 13 519 0 20 Dec 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression Mu-Wei Li Kede Ma J. You David C. Zhang W. Zuo 16 67 0 24 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 19 114 0 24 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 13 161 0 27 Apr 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 11 1,845 0 23 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 24 24 0 11 Apr 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 22 131 0 04 Mar 2019
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 17 149 0 04 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 18 377 0 03 Dec 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 21 14 0 08 Oct 2018
Learning Deep Sketch Abstraction U. Muhammad Yongxin Yang Yi-Zhe Song Tao Xiang Timothy M. Hospedales 18 95 0 13 Apr 2018
A Variational U-Net for Conditional Appearance and Shape Generation Patrick Esser E. Sutter Bjorn Ommer 28 417 0 12 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations Y. Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee OCL 26 194 0 12 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 23 450 0 04 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin Tejas D. Kulkarni Igor Babuschkin A. Eslami Oriol Vinyals GAN 10 229 0 03 Apr 2018
Efficient Neural Audio Synthesis Nal Kalchbrenner Erich Elsen Karen Simonyan Seb Noury Norman Casagrande Edward Lockhart Florian Stimberg Aaron van den Oord Sander Dieleman Koray Kavukcuoglu 21 863 0 23 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 34 525 0 21 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 37 75 0 14 Feb 2018