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Improving Image Autoencoder Embeddings with Perceptual Loss

Improving Image Autoencoder Embeddings with Perceptual Loss

10 January 2020
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
ArXivPDFHTML

Papers citing "Improving Image Autoencoder Embeddings with Perceptual Loss"

5 / 5 papers shown
Title
DISentangled Counterfactual Visual interpretER (DISCOVER) generalizes to
  natural images
DISentangled Counterfactual Visual interpretER (DISCOVER) generalizes to natural images
O. Rotem
A. Zaritsky
21
0
0
22 Jun 2024
A multimodal dynamical variational autoencoder for audiovisual speech
  representation learning
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
16
11
0
05 May 2023
Perceptual Loss for Robust Unsupervised Homography Estimation
Perceptual Loss for Robust Unsupervised Homography Estimation
Daniel Koguciuk
Elahe Arani
Bahram Zonooz
19
28
0
20 Apr 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
27
2
0
04 Jan 2021
Pretraining Image Encoders without Reconstruction via Feature Prediction
  Loss
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
8
3
0
16 Mar 2020
1