Efficient-VDVAE: Less is more

25 March 2022

Papers citing "Efficient-VDVAE: Less is more"

23 / 23 papers shown

Title
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation Boyuan Wang Xiaofeng Wang Chaojun Ni Guosheng Zhao Zhiqin Yang ... Yukun Zhou Xinze Chen Guan Huang Lihong Liu Xingang Wang VGen 57 2 0 31 Mar 2025
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 87 0 0 02 Dec 2024
ManiFPT: Defining and Analyzing Fingerprints of Generative Models Hae Jin Song Mahyar Khayatkhoei Wael AbdAlmageed 21 6 0 16 Feb 2024
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability Jaehui Hwang Junghyuk Lee Jong-Seok Lee EGVM 24 2 0 17 Dec 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 28 15 0 28 Sep 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 29 8 0 21 Aug 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G. Stein Jesse C. Cresswell Rasa Hosseinzadeh Yi Sui Brendan Leigh Ross Valentin Villecroze Zhaoyan Liu Anthony L. Caterini J. E. T. Taylor G. Loaiza-Ganem EGVM 33 95 0 07 Jun 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 26 0 0 08 Apr 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 31 7 0 23 Mar 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 16 6 0 20 Mar 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 25 2 0 23 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 8 0 19 Jan 2023
StyleNAT: Giving Each Head a New Perspective Steven Walton Ali Hassani Xingqian Xu Zhangyang Wang Humphrey Shi ViT 31 22 0 10 Nov 2022
Composing Ensembles of Pre-trained Models via Iterative Consensus Shuang Li Yilun Du J. Tenenbaum Antonio Torralba Igor Mordatch MoMe 19 23 0 20 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 19 4 0 18 Oct 2022
Demystifying Randomly Initialized Networks for Evaluating Generative Models Junghyuk Lee Jun-Hyuk Kim Jong-Seok Lee EGVM 22 0 0 19 Aug 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 19 7 0 17 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 19 5 0 01 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 51 0 27 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 13 2 0 19 May 2022
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 26 90 0 10 Jun 2021
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016