PixelVAE: A Latent Variable Model for Natural Images

15 November 2016

David Vazquez

Aaron Courville

Papers citing "PixelVAE: A Latent Variable Model for Natural Images"

50 / 73 papers shown

Title
FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset Shuhe Wang Xiaoya Li Jiwei Li G. Wang Xiaofei Sun ... Han Qiu Mo Yu Shengjie Shen Tianwei Zhang Eduard H. Hovy VLM 63 0 0 10 Mar 2025
Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Shuhe Wang Xiaoya Li Xiaofei Sun G. Wang Tianwei Zhang Jiwei Li Eduard H. Hovy 38 0 0 28 Jan 2025
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 34 0 0 26 Oct 2024
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 35 1 0 02 Apr 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 27 4 0 16 Mar 2024
Rethinking Patch Dependence for Masked Autoencoders Letian Fu Long Lian Renhao Wang Baifeng Shi Xudong Wang Adam Yala Trevor Darrell Alexei A. Efros Ken Goldberg 34 14 0 25 Jan 2024
Predictive variational autoencoder for learning robust representations of time-series data Julia Huiming Wang Dexter Tsin Tatiana Engel CML OOD AI4TS 32 2 0 12 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 53 1 0 11 Oct 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 33 0 0 03 Apr 2023
CIMS: Correction-Interpolation Method for Smoke Simulation Yun-Hwa Lee Dohae Lee Young-Jin Oh In-Kwon Lee 22 0 0 28 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 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
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 38 156 0 19 Aug 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 30 10 0 25 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 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
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 337 0 20 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
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 32 13 0 05 Oct 2020
DeepInit Phase Retrieval M. Reiche P. Jung 27 3 0 16 Jul 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 24 27 0 15 Jun 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 31 13 0 08 May 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Jing Zhang Deng-Ping Fan Yuchao Dai Saeed Anwar F. Saleh Tong Zhang Nick Barnes UQCV 24 319 0 13 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 14 20 0 07 Apr 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation Jinwei Gu Hadar Averbuch-Elor Noah Snavely Serge J. Belongie 3DPC 27 112 0 06 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 21 4 0 17 Mar 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
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 32 81 0 02 Jan 2020
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 30 7 0 11 Nov 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 19 74 0 25 Sep 2019
$ρ$ -VAE: Autoregressive parametrization of the VAE encoder Sohrab Ferdowsi M. Diephuis Shideh Rezaeifar Slava Voloshynovskiy 9 3 0 13 Sep 2019
Maximizing Mutual Information for Tacotron Peng Liu Xixin Wu Shiyin Kang Guangzhi Li Dan Su Dong Yu 22 16 0 30 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 32 14 0 31 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Shiguo Lian CVBM 15 130 0 26 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 30 37 0 06 Mar 2019
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud L. Yi Wang Zhao He Wang Minhyuk Sung Leonidas J. Guibas 3DPC 37 322 0 08 Dec 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 16 110 0 26 Oct 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 34 61 0 14 Sep 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018
Manipulating Attributes of Natural Scenes via Hallucination Levent Karacan Zeynep Akata Aykut Erdem Erkut Erdem 33 23 0 22 Aug 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018