Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression

25 May 2021

Papers citing "Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression"

7 / 7 papers shown

Title
PAON: A New Neuron Model using Padé Approximants Onur Keleş A. Murat Tekalp 38 1 0 18 Mar 2024
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression Farhad Pakdaman Moncef Gabbouj 26 3 0 16 Mar 2024
Perceptual Learned Image Compression via End-to-End JND-Based Optimization Farhad Pakdaman Sanaz Nami Moncef Gabbouj 11 1 0 05 Feb 2024
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi Hoda El-Sayed Md Kamruzzaman Sarker Yao Houkpati John Irungu T. Oladunni 50 74 0 17 Nov 2023
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression M. Nasr Amir Hajighasemi Paul Koomey Parisa Boodaghi Malidarreh Michael Robben Jillur Rahman Saurav Helen H. Shang Manfred Huber Jacob M. Luber MedIm 25 4 0 23 Mar 2023
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training Fatih Kamisli 11 2 0 22 Mar 2022
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 70 244 0 18 Jul 2016