MS-SSIM

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 61 papers with code (179 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Variational image compression with a scale hyperprior
  1 Feb 2018 16 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  We describe an end-to-end trainable model for image compression based on variational autoencoders.
• End-to-end Optimized Image Compression
  5 Nov 2016 14 repositories listed Syntology ran 4 of 20 samples · 16 unverified · 4 pointer-only (licence)
  We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear synthesis transformation.
• CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
  5 Nov 2020 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.
• OpenDVC: An Open Source Implementation of the DVC Video Compression Method
  29 Jun 2020 4 repositories listed
  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.
• Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
  6 Jan 2020 4 repositories listed Syntology ran 0 of 14 samples · 14 unverified
  In this paper, we explore the remaining redundancy of recent learned compression algorithms.
• DVC: An End-to-end Deep Video Compression Framework
  30 Nov 2018 4 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)
  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
  19 Mar 2017 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  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.
• Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
  4 Mar 2020 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  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,…
• Joint Autoregressive and Hierarchical Priors for Learned Image Compression
  8 Sep 2018 3 repositories listed
  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,…
• A study on the adequacy of common IQA measures for medical images
  29 May 2024 2 repositories listed
  Image quality assessment (IQA) is standard practice in the development stage of novel machine learning algorithms that operate on images.
• End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression
  17 Dec 2021 2 repositories listed
  Conventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized individually…
• A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
  21 Jan 2021 2 repositories listed
  This method can not only improve the accuracy of the model, but also help the model defend against adversarial examples; 2) Multi-Modal Defense, it integrates three homogeneous modal images of visible, grayscale and…
• Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
  24 Jun 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The experiments show that our approach achieves the state-of-the-art learned video compression performance in terms of both PSNR and MS-SSIM.
• CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders
  22 Jan 2019 2 repositories listed
  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.
• Context-adaptive Entropy Model for End-to-end Optimized Image Compression
  27 Sep 2018 2 repositories listed
  We propose a context-adaptive entropy model for use in end-to-end optimized image compression.
• DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  8 Jun 2018 2 repositories listed
  A compact representation of the input image is also generated and encoded as the first enhancement layer.
• Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis
  7 Mar 2025 1 repository listed
  To address these challenges, we propose a Pretext Task Adversarial (PTA) learning framework for high-field MRI synthesis from low-field MRI data.
• Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models
  1 Dec 2024 1 repository listed
  Amyloid PET imaging plays a crucial role in the diagnosis and research of Alzheimer’s disease (AD), allowing non-invasive detection of amyloid-β plaques in the brain.
• MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
  29 Nov 2024 1 repository listed
  The rapid growth of camera-based IoT devices demands the need for efficient video compression, particularly for edge applications where devices face hardware constraints, often with only 1 or 2 MB of RAM and unstable…
• MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data
  16 Aug 2024 1 repository listed Syntology ran 11 of 11 samples · 0 unverified
  For such tasks, the best evaluation would be when both low-SNR noisy images and corresponding high-SNR clean images are obtained directly from a microscope.
• Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
  15 Jul 2024 1 repository listed
  With the rapid advancement of stereo vision technologies, stereo image compression has emerged as a crucial field that continues to draw significant attention.
• Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
  9 Jun 2024 1 repository listed
  Deep learning (DL)-based Semantic Communications (SemCom) is becoming critical to maximize overall efficiency of communication networks.
• S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
  21 Mar 2024 1 repository listed
  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.
• SLIC: A Learned Image Codec Using Structure and Color
  30 Jan 2024 1 repository listed
  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.
• Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
  25 Oct 2023 1 repository listed
  In this retrospective study, we designed and evaluated a pipeline to generate synthetic labeled polyp images for augmenting medical image segmentation models with the aim of reducing this data scarcity.
• The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
  6 Oct 2023 1 repository listed
  We show how perceptual embeddings of the visual system can be constructed at inference-time with no training data or deep neural network features.
• LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic Segmentation
  12 Aug 2023 1 repository listed
  Therefore, we also propose LadleNet+, which replaces the Handle module in LadleNet with a pre-trained DeepLabv3+ network, enabling the model to have a more powerful capability in constructing semantic space.
• Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model
  31 May 2023 1 repository listed Syntology ran 4 of 14 samples · 10 unverified
  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…
• MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
  5 Apr 2023 1 repository listed
  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…
• UVDoc: Neural Grid-based Document Unwarping
  6 Feb 2023 1 repository listed
  In this paper we propose a novel method for grid-based single-image document unwarping.

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.