SSIM

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

4 datasets 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.

Most implemented papers archive 2025-07-28

30 shown of 456 papers with code (1,336 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.

• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  11 Jan 2018 24 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We systematically evaluate deep features across different architectures and tasks and compare them with classic metrics.
• 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.
• Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
  25 May 2021 9 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  Convolutional neural networks (CNNs) are highly successful for super-resolution (SR) but often require sophisticated architectures with heavy memory cost and computational overhead, significantly restricts their…
• NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
  30 Dec 2020 9 repositories listed
  Subsequently, image denosing can be achieved by selecting corresponding basis of the signal subspace and projecting the input into such space.
• A Fully Progressive Approach to Single-Image Super-Resolution
  9 Apr 2018 6 repositories listed
  Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality.
• ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
  16 Mar 2021 4 repositories listed
  It has been shown that the proposed framework can successfully reconstruct even for an acceleration factor of 20 for Cartesian (0.
• 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.
• Progressive Image Deraining Networks: A Better and Simpler Baseline
  26 Jan 2019 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  To handle this issue, this paper provides a better and simpler baseline deraining network by considering network architecture, input and output, and loss functions.
• 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.
• End-to-end Trained CNN Encode-Decoder Networks for Image Steganography
  20 Nov 2017 4 repositories listed
  All the existing image steganography methods use manually crafted features to hide binary payloads into cover images.
• Learned Primal-dual Reconstruction
  20 Jul 2017 4 repositories listed
  We propose the Learned Primal-Dual algorithm for tomographic reconstruction.
• 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.
• R²-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
  31 May 2024 3 repositories listed Syntology ran 17 of 19 samples · 2 unverified · 19 pointer-only (licence)
  3D Gaussian splatting (3DGS) has shown promising results in image rendering and surface reconstruction.
• Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
  30 Oct 2022 3 repositories listed
  The License Plate Recognition (LPR) field has made impressive advances in the last decade due to novel deep learning approaches combined with the increased availability of training data.
• Focal Inverse Distance Transform Maps for Crowd Localization
  16 Feb 2021 3 repositories listed
  Most regression-based methods utilize convolution neural networks (CNN) to regress a density map, which can not accurately locate the instance in the extremely dense scene, attributed to two crucial reasons: 1) the…
• Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation
  22 Dec 2020 3 repositories listed
  We used the SEN1-2 dataset to train and test both GANs, and we made cloudy images by adding synthetic clouds to optical images.
• Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
  9 Dec 2020 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Accelerating MRI scans is one of the principal outstanding problems in the MRI research community.
• 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,…
• Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
  14 Dec 2019 3 repositories listed
  In contrast, we cast the problem of cloud removal as a conditional image synthesis challenge, and we propose a trainable spatiotemporal generator network (STGAN) to remove clouds.
• BASNet: Boundary-Aware Salient Object Detection
  1 Jun 2019 3 repositories listed
  In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.
• 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,…
• Single Image Reflection Separation with Perceptual Losses
  14 Jun 2018 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.
• MagCache: Fast Video Generation with Magnitude-Aware Cache
  10 Jun 2025 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features.
• Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
  7 Jan 2025 2 repositories listed
  Subsequently, the PSNR and SSIM metrics are employed to obtain training labels based on which neural networks are trained using a single network to detect JPEG and JPEG 2000 artefacts, respectively.
• FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
  21 Oct 2024 2 repositories listed
  Automatic lung image segmentation assists doctors in identifying diseases such as lung cancer, COVID-19, and respiratory disorders.
• 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.
• Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing
  29 Apr 2024 2 repositories listed
  Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements.

Syntology lines on 14 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.