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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

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Title
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder A. Mali Alexander Ororbia Daniel Kifer C. Lee Giles 56 10 0 27 Jan 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems A. Mali Alexander Ororbia Daniel Kifer L. Giles 45 4 0 27 Jan 2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation Xingguang Yan Liqiang Lin Niloy J. Mitra Dani Lischinski Daniel Cohen-Or Hui Huang ViT 182 118 0 25 Jan 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling Nima Rafiee Rahil Gholamipoorfard Nikolas Adaloglou Simon Jaxy Julius Ramakers M. Kollmann OODD 34 8 0 17 Jan 2022
DeepCreativity: Measuring Creativity with Deep Learning Techniques Giorgio Franceschelli Mirco Musolesi 55 5 0 16 Jan 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 71 7 0 13 Jan 2022
End-to-end lossless compression of high precision depth maps guided by pseudo-residual Yuyang Wu Wei Gao 74 4 0 10 Jan 2022
All You Need In Sign Language Production R. Rastgoo Kourosh Kiani Sergio Escalera V. Athitsos Mohammad Sabokrou 51 8 0 05 Jan 2022
Evaluating Deep Music Generation Methods Using Data Augmentation Toby Godwin Georgios Rizos Alice Baird N. A. Futaisi Vincent Brisse Bjoern W. Schuller MGen 29 1 0 31 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 198 51 0 27 Dec 2021
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 78 3 0 26 Dec 2021
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 102 11 0 23 Dec 2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation Bo Zhang Shuyang Gu Bo Zhang Jianmin Bao Dong Chen Fang Wen Yong Wang B. Guo ViT 92 232 0 20 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 615 15,859 0 20 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 109 65 0 16 Dec 2021
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Svyatoslav Voloshynovskiy T. Golling TPM 79 4 0 15 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 126 562 0 15 Dec 2021
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 54 1 0 13 Dec 2021
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network Hochang Rhee Y. Jang Seyun Kim N. Cho 74 29 0 13 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 210 87 0 06 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 63 43 0 03 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 131 64 0 02 Dec 2021
EdiBERT, a generative model for image editing Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard DiffM 104 12 0 30 Nov 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis Shuyang Gu Dong Chen Jianmin Bao Fang Wen Bo Zhang Dongdong Chen Lu Yuan B. Guo DiffM 229 800 0 29 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 44 2 0 25 Nov 2021
Layered Controllable Video Generation Jiahui Huang Yuhe Jin K. M. Yi Leonid Sigal VGen 77 11 0 24 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 150 246 0 24 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 126 72 0 24 Nov 2021
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences Moritz Ibing Gregor Kobsik Leif Kobbelt 95 37 0 24 Nov 2021
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion Chenfei Wu Jian Liang Lei Ji Fan Yang Yuejian Fang Daxin Jiang Nan Duan ViT VGen 85 296 0 24 Nov 2021
Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du Katherine M. Collins J. Tenenbaum Vincent Sitzmann MedIm 88 50 0 11 Nov 2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers Yanhong Zeng Huan Yang Hongyang Chao Jianbo Wang Jianlong Fu ViT 161 26 0 05 Nov 2021
A Bayesian generative neural network framework for epidemic inference problems I. Biazzo Alfredo Braunstein Luca DallÁsta Fabio Mazza 116 16 0 05 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation Mrinal Anand Aditya Garg SSL 44 2 0 03 Nov 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 63 2 0 28 Oct 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 70 11 0 27 Oct 2021
Hierarchical Transformers Are More Efficient Language Models Piotr Nawrot Szymon Tworkowski Michał Tyrolski Lukasz Kaiser Yuhuai Wu Christian Szegedy Henryk Michalewski 91 69 0 26 Oct 2021
Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience Weiyi Lu Meng-Hsuan Wu Yuh-ming Chiu Li Su 60 0 0 25 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 57 10 0 23 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 309 955 0 21 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 51 2 0 17 Oct 2021
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection Pei Lv Suqi Hu Tianran Hao 62 5 0 14 Oct 2021
The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data Viktoria Schuster A. Krogh 77 4 0 13 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 82 14 0 10 Oct 2021
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation Aladin Virmaux Illyyne Saffar Jianfeng Zhang Balázs Kégl OOD 41 0 0 06 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 245 658 0 06 Oct 2021
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video Justin Wilson Ming-Chia Lin 41 1 0 05 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 127 155 0 05 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 99 0 04 Oct 2021
End-to-End Image Compression with Probabilistic Decoding Haichuan Ma Dong Liu Cunhui Dong Li Li Feng Wu 38 1 0 30 Sep 2021