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
Natural scene reconstruction from fMRI signals using generative latent diffusion Furkan Ozcelik Rufin VanRullen DiffM 90 77 0 09 Mar 2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo Umais Zahid Qinghai Guo Karl J. Friston Z. Fountas 16 3 0 09 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 28 24 0 02 Mar 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 13 1 0 20 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 14 21 0 14 Feb 2023
Trading Information between Latents in Hierarchical Variational Autoencoders Tim Z. Xiao Robert Bamler DRL BDL 17 5 0 09 Feb 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models Shengmeng Li Luping Liu Zenghao Chai Runnan Li Xuejiao Tan DiffM 22 11 0 30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 25 53 0 27 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 19 13 0 21 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 16 7 0 19 Jan 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 12 5 0 12 Jan 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 19 536 0 10 Jan 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 13 4 0 29 Dec 2022
Probabilistic Shape Completion by Estimating Canonical Factors with Hierarchical VAE W. Jiang Kostas Daniilidis 3DPC 15 1 0 06 Dec 2022
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis Shichong Peng Alireza Moazeni Ke Li DiffM 22 2 0 25 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 16 15 0 25 Nov 2022
μSplit: efficient image decomposition for microscopy data Ashesh Ashesh Alexander Krull M. D. Sante F. Pasqualini Florian Jug 15 4 0 23 Nov 2022
StyleNAT: Giving Each Head a New Perspective Steven Walton Ali Hassani Xingqian Xu Zhangyang Wang Humphrey Shi ViT 18 22 0 10 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 16 32 0 07 Nov 2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation Henry Li Y. Kluger 16 2 0 19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 19 4 0 18 Oct 2022
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 17 35 0 15 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 39 26 0 10 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 24 1,036 0 06 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman Adji Bousso Dieng EGVM 76 107 0 05 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP Justin N. M. Pinkney Chuan Li CLIP VLM 40 19 0 05 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 132 77 0 02 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 18 0 0 02 Oct 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 31 5 0 30 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 23 4 0 22 Sep 2022
A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS Haohan Guo Fenglong Xie Frank Soong Xixin Wu Helen M. Meng 32 10 0 22 Sep 2022
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 28 2 0 15 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 49 25 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,277 0 02 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming-Tse Lu Zhan Ma F. Zhu 28 43 0 27 Aug 2022
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation Mohammad Adiban Kalin Stefanov Sabato Marco Siniscalchi G. Salvi 6 8 0 09 Aug 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 16 21 0 13 Jul 2022
A Study on the Evaluation of Generative Models Eyal Betzalel Coby Penso Aviv Navon Ethan Fetaya EGVM 17 48 0 22 Jun 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 11 108 0 21 Jun 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis Shayegan Omidshafiei A. Kapishnikov Yannick Assogba Lucas Dixon Been Kim OffRL 23 5 0 17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Ning Kang Shanzhao Qiu Shifeng Zhang Zhenguo Li Shutao Xia 18 16 0 10 Jun 2022
Generating Long Videos of Dynamic Scenes Tim Brooks Janne Hellsten M. Aittala Ting-Chun Wang Timo Aila J. Lehtinen Ming-Yu Liu Alexei A. Efros Tero Karras SyDa 4 100 0 07 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 14 5 0 01 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 168 49 0 30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 208 50 0 27 May 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 20 2 0 25 May 2022
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing Zhikang Li Huiling Zhou Shuai Bai Peike Li Chang Zhou Hongxia Yang 21 4 0 24 May 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian Weilbach Frank D. Wood DiffM BDL VGen 174 285 0 23 May 2022
Diverse super-resolution with pretrained deep hiererarchical VAEs Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis DiffM 17 0 0 20 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 8 2 0 19 May 2022