37 papers with code • 1 benchmarks • 0 datasets

A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view.


Use these libraries to find MS-SSIM models and implementations

Most implemented papers

End-to-end Optimized Image Compression

tensorflow/models 5 Nov 2016

We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear synthesis transformation.

Variational image compression with a scale hyperprior

tensorflow/compression ICLR 2018

We describe an end-to-end trainable model for image compression based on variational autoencoders.

DVC: An End-to-end Deep Video Compression Framework

GuoLusjtu/DVC CVPR 2019

Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network

dashayushman/TAC-GAN 19 Mar 2017

In this work, we present the Text Conditioned Auxiliary Classifier Generative Adversarial Network, (TAC-GAN) a text to image Generative Adversarial Network (GAN) for synthesizing images from their text descriptions.

OpenDVC: An Open Source Implementation of the DVC Video Compression Method

RenYang-home/OpenDVC 29 Jun 2020

At the time of writing this report, several learned video compression methods are superior to DVC, but currently none of them provides open source codes.

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

InterDigitalInc/CompressAI NeurIPS 2018

While it is well known that autoregressive models come with a significant computational penalty, we find that in terms of compression performance, autoregressive and hierarchical priors are complementary and, together, exploit the probabilistic structure in the latents better than all previous learned models.

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

JooyoungLeeETRI/CA_Entropy_Model ICLR 2019

We propose a context-adaptive entropy model for use in end-to-end optimized image compression.

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

RenYang-home/HLVC CVPR 2020

In our HLVC approach, the hierarchical quality benefits the coding efficiency, since the high quality information facilitates the compression and enhancement of low quality frames at encoder and decoder sides, respectively.

DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

makbari7/DSSLIC 8 Jun 2018

A compact representation of the input image is also generated and encoded as the first enhancement layer.

CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders

JasonZHM/CAE-ADMM 22 Jan 2019

We introduce ADMM-pruned Compressive AutoEncoder (CAE-ADMM) that uses Alternative Direction Method of Multipliers (ADMM) to optimize the trade-off between distortion and efficiency of lossy image compression.