MS-SSIM

52 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.

Libraries

Use these libraries to find MS-SSIM models and implementations

S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context

wyq2021/s2lic 21 Mar 2024

In this paper, we propose an Adaptive Channel-wise and Global-inter attention Context (ACGC) entropy model, which can efficiently achieve dual feature aggregation in both inter-slice and intraslice contexts.

0
21 Mar 2024

SLIC: A Learned Image Codec Using Structure and Color

InterDigitalInc/CompressAI 30 Jan 2024

We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance.

1,016
30 Jan 2024

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation

dsaragih/diffuse-gen 25 Oct 2023

Improvements over GAN methods were seen on average when the segmenter was entirely trained (DL difference: $-0. 0880 \pm 0. 0170$, IoU difference: $0. 0993 \pm 0. 01493$) or augmented (DL difference: GAN $-0. 1140 \pm 0. 0900 \text{ vs SD }-0. 1053 \pm 0. 0981$, IoU difference: GAN $0. 01533 \pm 0. 03831 \text{ vs SD }0. 0255 \pm 0. 0454$) with synthetic data.

3
25 Oct 2023

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric

dsevero/linear-autoregressive-similarity-index 6 Oct 2023

We show how perceptual embeddings of the visual system can be constructed at inference-time with no training data or deep neural network features.

16
06 Oct 2023

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

shaoyanpan/Synthetic-CT-generation-from-MRI-using-3D-transformer-based-denoising-diffusion-model 31 May 2023

The proposed model consists of two processes: a forward process which adds Gaussian noise to real CT scans, and a reverse process in which a shifted-window transformer V-net (Swin-Vnet) denoises the noisy CT scans conditioned on the MRI from the same patient to produce noise-free CT scans.

3
31 May 2023

MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding

bowenl0218/mmvc_video_codec CVPR 2023

In this paper, we propose multi-mode video compression (MMVC), a block wise mode ensemble deep video compression framework that selects the optimal mode for feature domain prediction adapting to different motion patterns.

15
05 Apr 2023

UVDoc: Neural Grid-based Document Unwarping

tanguymagne/uvdoc 6 Feb 2023

In this paper we propose a novel method for grid-based single-image document unwarping.

32
06 Feb 2023

Reference Guided Image Inpainting using Facial Attributes

Stillrot/RGINP 19 Jan 2023

Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion.

19
19 Jan 2023

Advancing Learned Video Compression with In-loop Frame Prediction

renyang-home/alvc 13 Nov 2022

In this paper, we propose an Advanced Learned Video Compression (ALVC) approach with the in-loop frame prediction module, which is able to effectively predict the target frame from the previously compressed frames, without consuming any bit-rate.

15
13 Nov 2022

PO-ELIC: Perception-Oriented Efficient Learned Image Coding

beiluo97/hflic 28 May 2022

In the past years, learned image compression (LIC) has achieved remarkable performance.

18
28 May 2022