DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

18 May 2018

Papers citing "DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors"

11 / 11 papers shown

Title
MoFM: A Large-Scale Human Motion Foundation Model Mohammadreza Baharani Ghazal Alinezhad Noghre Armin Danesh Pazho Gabriel Maldonado Hamed Tabkhi AI4CE 194 1 0 08 Feb 2025
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models Arash Marioriyad Parham Rezaei M. Baghshah M. Rohban CoGe 184 0 0 30 Oct 2024
On the Role of Discrete Tokenization in Visual Representation Learning Tianqi Du Yifei Wang Yisen Wang 52 7 0 12 Jul 2024
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification Jia-ju Mao Shu-Hua Guo Yuan Chang Xuesong Yin Binling Nie 28 2 0 10 May 2023
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma F. Zhu 46 43 0 27 Aug 2022
Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao Lu Jiang Mostafa Dehghani Carl Vondrick Rahul Sukthankar Irfan Essa ViT 27 44 0 20 Nov 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 22 78 0 21 Oct 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 40 3 0 16 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
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
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 57 44 0 19 Jul 2016