Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

20 November 2020

Papers citing "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

50 / 231 papers shown

Title
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach Dihan Zheng Xiaowen Zhang Kaisheng Ma Chenglong Bao DiffM 21 22 0 21 Apr 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations Michael Poli Winnie Xu Stefano Massaroli Chenlin Meng Kuno Kim Stefano Ermon 29 3 0 15 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 67 6,591 0 13 Apr 2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer Songwei Ge Thomas Hayes Harry Yang Xiaoyue Yin Guan Pang David Jacobs Jia-Bin Huang Devi Parikh ViT 33 214 0 07 Apr 2022
Split Hierarchical Variational Compression Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 13 11 0 05 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 22 232 0 01 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 19 28 0 25 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 14 12 0 18 Mar 2022
Self-Ensemble Adversarial Training for Improved Robustness Hongjun Wang Yisen Wang OOD AAML 11 48 0 18 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 21 32 0 17 Mar 2022
Implicit Feature Decoupling with Depthwise Quantization Iordanis Fostiropoulos Barry W. Boehm 17 2 0 15 Mar 2022
Long Document Summarization with Top-down and Bottom-up Inference Bo Pang Erik Nijkamp Wojciech Kry'sciñski Silvio Savarese Yingbo Zhou Caiming Xiong RALM BDL 11 55 0 15 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 22 0 0 09 Mar 2022
Translational Lung Imaging Analysis Through Disentangled Representations P. M. Gordaliza J. J. Vaquero A. Muñoz-Barrutia MedIm 9 3 0 03 Mar 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 168 324 0 03 Mar 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 13 3 0 22 Feb 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 9 14 0 09 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 12 3 0 04 Feb 2022
Posterior Matching for Arbitrary Conditioning R. Strauss Junier B. Oliva CML BDL 8 6 0 28 Jan 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 29 5 0 19 Jan 2022
Linear Variational State-Space Filtering Daniel Pfrommer Nikolai Matni 22 1 0 04 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 20 112 0 02 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 68 14,533 0 20 Dec 2021
Multimeasurement Generative Models Saeed Saremi R. Srivastava 14 8 0 18 Dec 2021
Multimodal Conditional Image Synthesis with Product-of-Experts GANs Xun Huang Arun Mallya Ting-Chun Wang Ming-Yu Liu DiffM 11 88 0 09 Dec 2021
InvGAN: Invertible GANs Partha Ghosh Dominik Zietlow Michael J. Black Larry S. Davis Xiaochen Hu DiffM 27 7 0 08 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 508 0 06 Dec 2021
Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion K. Akuzawa Kotaro Onishi Keisuke Takiguchi Kohki Mametani K. Mori BDL DRL 19 6 0 06 Dec 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 14 71 0 24 Nov 2021
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion Anthony Bourached Robert J. Gray Xiaodong Guan Ryan-Rhys Griffiths A. Jha P. Nachev 3DH DRL 14 1 0 24 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder Shifeng Zhang Ning Kang Tom Ryder Zhenguo Li 17 30 0 01 Nov 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 11 10 0 23 Oct 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 170 160 0 21 Oct 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 6 290 0 18 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 12 474 0 09 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations Yukun Chen Andrea Dittadi Frederik Trauble Stefan Bauer Bernhard Schölkopf CML 48 2 0 07 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 26 142 0 05 Oct 2021
Spread Flows for Manifold Modelling Mingtian Zhang Yitong Sun Chen Zhang Steven G. McDonagh AI4CE 13 2 0 29 Sep 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 13 154 0 19 Aug 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 15 111 0 07 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 35 1,056 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 12 7 0 30 Jun 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 22 17 0 30 Jun 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan Dongsheng Wang Bo Chen Chaojie Wang Wenchao Chen Yewen Li J. Ren Mingyuan Zhou BDL 17 38 0 30 Jun 2021
Re-parameterizing VAEs for stability David Dehaene Rémy Brossard DRL 13 9 0 25 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis Shichong Peng Alireza Moazeni Ke Li GAN 16 0 0 16 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 19 117 0 12 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 654 0 10 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 17 32 0 09 Jun 2021
Multi-Facet Clustering Variational Autoencoders Fabian Falck Haoting Zhang M. Willetts G. Nicholson C. Yau Chris Holmes DRL 12 40 0 09 Jun 2021