VTAE: Variational Transformer Autoencoder with Manifolds Learning

VTAE: Variational Transformer Autoencoder with Manifolds Learning

3 April 2023

Pourya Shamsolmoali

Masoumeh Zareapoor

Xuelong Li

Papers citing "VTAE: Variational Transformer Autoencoder with Manifolds Learning"

8 / 8 papers shown

Title
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Michael Felsberg Dacheng Tao Xiaomeng Li DiffM 39 0 0 19 Apr 2025
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 38 1 0 24 Jul 2023
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 32 21 0 15 Sep 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 34 2 0 01 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation Le Fang Tao Zeng Chao-Ning Liu Liefeng Bo Wen Dong Changyou Chen DRL 49 59 0 04 Jan 2021
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 146 7,337 0 05 Jun 2015