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"

31 / 231 papers shown

Title
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 29 134 0 07 Jun 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 11 43 0 07 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 12 7,367 0 11 May 2021
Lossless Compression with Latent Variable Models James Townsend BDL DRL 17 6 0 21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 242 482 0 20 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 19 37 0 06 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 35 32 0 03 Apr 2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 15 10 0 10 Mar 2021
GAN Vocoder: Multi-Resolution Discriminator Is All You Need J. You Dalhyun Kim Gyuhyeon Nam Geumbyeol Hwang Gyeongsu Chae 8 27 0 09 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 36 475 0 08 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 25 266 0 02 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 37 30 0 02 Mar 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank D. Wood BDL DRL 20 23 0 24 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 13 3,489 0 18 Feb 2021
Clockwork Variational Autoencoders Vaibhav Saxena Jimmy Ba Danijar Hafner VGen DRL 21 49 0 18 Feb 2021
Preventing Oversmoothing in VAE via Generalized Variance Parameterization Yuhta Takida Wei-Hsiang Liao Chieh-Hsin Lai Toshimitsu Uesaka Shusuke Takahashi Yuki Mitsufuji DRL 33 12 0 17 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 30 71 0 16 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Dan Su 17 22 0 12 Feb 2021
Variational Nested Dropout Yufei Cui Yushun Mao Ziquan Liu Qiao Li Antoni B. Chan Xue Liu Tei-Wei Kuo Chun Jason Xue BDL 6 5 0 27 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 33 618 0 22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 256 0 07 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 17 2,796 0 17 Dec 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 11 44 0 15 Nov 2020
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy Alex Mansbridge G. Barbour Davide Piras Michael Murray Christopher Frye Ilya Feige David Barber 8 1 0 23 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs Bradley Max Segal D. Rubin G. Rubin Adam Pantanowitz MedIm 12 36 0 07 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja A. Schwing Jan Kautz Arash Vahdat DRL 6 81 0 06 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 25 13 0 05 Oct 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 11 5 0 14 Jul 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 12 88 0 06 Jul 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 13 1 0 18 Jun 2020
On Noise Injection in Generative Adversarial Networks Ruili Feng Deli Zhao Zhengjun Zha GAN 12 32 0 10 Jun 2020