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 / 70 papers shown

Title
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities Xuzhi Zhang Jintao Guo Shanshan Zhao Minghao Fu Lunhao Duan Guo-Hua Wang Qing-Guo Chen Zhao Xu Weihua Luo Kaifu Zhang DiffM 74 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 57 0 0 28 Apr 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 56 2 0 13 Jan 2025
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 46 0 0 21 Jun 2024
Neural Video Compression with Diverse Contexts Jiahao Li Bin Li Yan Lu 34 143 0 28 Feb 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 31 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 28 3 0 20 Nov 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 32 22 0 11 Sep 2022
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks Qingrong Cheng Keyu Wen X. Gu VLM EGVM 32 16 0 20 Aug 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 34 0 0 01 Jun 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 118 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 30 29 0 13 Dec 2021
Learning to Compose Visual Relations Nan Liu Shuang Li Yilun Du J. Tenenbaum Antonio Torralba CoGe OCL 32 77 0 17 Nov 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 12 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 36 88 0 27 Aug 2021
Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren H. Dai Zihang Dai Mengjiao Yang J. Leskovec Dale Schuurmans Bo Dai 87 77 0 12 Jul 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 30 3 0 26 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 22 4 0 04 Jun 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs Henning Schulze Dogucan Yaman Alexander Waibel GAN 29 3 0 26 Apr 2021
3D Semantic Scene Completion: a Survey Luis Roldão Raoul de Charette Anne Verroust-Blondet 3DV 28 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 41 481 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 33 199 0 05 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 66 0 02 Mar 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 22 175 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 22 355 0 12 Jan 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 337 0 20 Nov 2020
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats Yunkui Pang Zhiqing Pan Ruiyang Sun Shuchong Wang 14 0 0 09 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 32 41 0 26 Oct 2020
New Ideas and Trends in Deep Multimodal Content Understanding: A Review Wei Chen Weiping Wang Li Liu M. Lew VLM 118 31 0 16 Oct 2020
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning Tsu-jui Fu Qing Guo Scott T. Grafton Miguel P. Eckstein William Yang Wang 34 40 0 21 Sep 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 23 356 0 25 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
SegAttnGAN: Text to Image Generation with Segmentation Attention Yuchuan Gou Qiancheng Wu Minghao Li Bo Gong Mei Han VLM 17 22 0 25 May 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 27 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 31 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 33 14 0 13 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 21 56 0 20 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 36 519 0 20 Dec 2019
Picture What you Read I. Gallo Shah Nawaz Alessandro Calefati Riccardo La Grassa Nicola Landro DiffM 26 0 0 09 Sep 2019
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DV 3DPC 25 56 0 03 Sep 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression Mu Li Kede Ma J. You David C. Zhang W. Zuo 30 67 0 24 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 16 1,767 0 02 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 21 161 0 27 Apr 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 16 1,848 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 42 24 0 11 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 30 37 0 06 Mar 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 25 131 0 04 Mar 2019
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 19 149 0 04 Dec 2018