Spectral Reconstruction

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 37 papers with code (72 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.

• Enhanced Deep Residual Networks for Single Image Super-Resolution
  10 Jul 2017 45 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 2 pointer-only (licence)
  Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN).
• Restormer: Efficient Transformer for High-Resolution Image Restoration
  18 Nov 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.
• Learning Enriched Features for Real Image Restoration and Enhancement
  15 Mar 2020 12 repositories listed Syntology ran 3 of 20 samples · 17 unverified · 3 pointer-only (licence)
  With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.
• Multi-Stage Progressive Image Restoration
  4 Feb 2021 8 repositories listed Syntology ran 18 of 26 samples · 8 unverified · 25 pointer-only (licence)
  At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.
• Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
  15 Nov 2021 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  The HSI representations are highly similar and correlated across the spectral dimension.
• MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
  17 Apr 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Existing leading methods for spectral reconstruction (SR) focus on designing deeper or wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB image to its hyperspectral image (HSI).
• HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
  4 Mar 2022 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  On the one hand, the proposed HR spatial-spectral attention module with its efficient feature fusion provides continuous and fine pixel-level features.
• HINet: Half Instance Normalization Network for Image Restoration
  13 May 2021 2 repositories listed
  Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.
• StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
  3 Nov 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech.
• UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
  27 Jun 2025 1 repository listed
  Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties.
• Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution
  30 May 2025 1 repository listed
  For image fusion, we integrate low-frequency estimation and high-frequency injection modules to combine the spatial and spectral information from spatial super-resolution and spectral super-resolution outputs.
• MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
  12 Mar 2025 1 repository listed
  In this paper, we propose MP-HSIR, a novel multi-prompt framework that effectively integrates spectral, textual, and visual prompts to achieve universal HSI restoration across diverse degradation types and intensities.
• GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images
  13 May 2024 1 repository listed
  Mainstream approaches to spectral reconstruction (SR) primarily focus on designing Convolution- and Transformer-based architectures.
• Dual Prior Unfolding for Snapshot Compressive Imaging
  1 Jan 2024 1 repository listed
  Recently deep unfolding methods have achieved remarkable success in the realm of Snapshot Compressive Imaging (SCI) reconstruction.
• Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
  1 Jan 2024 1 repository listed
  How to effectively utilize the spectral and spatial characteristics of Hyperspectral Image (HSI) is always a key problem in spectral snapshot reconstruction.
• Learned Regularization for Inverse Problems: Insights from a Spectral Model
  15 Dec 2023 1 repository listed
  In this chapter we provide a theoretically founded investigation of state-of-the-art learning approaches for inverse problems from the point of view of spectral reconstruction operators.
• Spec-NeRF: Multi-spectral Neural Radiance Fields
  14 Sep 2023 1 repository listed Syntology ran 13 of 16 samples · 3 unverified · 16 pointer-only (licence)
  We propose Multi-spectral Neural Radiance Fields(Spec-NeRF) for jointly reconstructing a multispectral radiance field and spectral sensitivity functions(SSFs) of the camera from a set of color images filtered by…
• RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
  6 Feb 2023 1 repository listed
  The regional dynamic block guides the network to adjust the transformation domain for different regions.
• Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding
  18 Jan 2023 1 repository listed
  Two novel algorithms for two different applications are proposed to prove the diversity of applications that can be addressed by this novel database.
• Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging
  13 Nov 2022 1 repository listed
  However, in the data subproblem, the used sensing matrix is ill-suited for the real degradation process due to the device errors caused by phase aberration, distortion; in the prior subproblem, it is important to design…
• Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
  20 May 2022 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a compressed measurement.
• Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
  5 Apr 2022 1 repository listed
  Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision.
• Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
  9 Mar 2022 1 repository listed Syntology ran 13 of 16 samples · 3 unverified
  Many algorithms have been developed to solve the inverse problem of coded aperture snapshot spectral imaging (CASSI), i.
• ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
  21 Dec 2021 1 repository listed
  However, these methods inherently suffer from the ill-posedness of the joint reconstruction problem.
• Reconstructing spectral functions via automatic differentiation
  29 Nov 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Exploiting the neural networks' regularization as a non-local smoothness regulator of the spectral function, we represent spectral functions by neural networks and use the propagator's reconstruction error to optimize…
• Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction
  15 Nov 2021 1 repository listed
  This paper proposes an autoencoder-based network that guarantees a low-dimensional spectral representation through feature reduction, which can be used as prior in the compressive spectral imaging reconstruction.
• Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
  15 Aug 2021 1 repository listed
  Specifically, on the basis of the intrinsic imaging degradation model of RGB images from HS images, we progressively spread the differences between input RGB images and re-projected RGB images from recovered HS images…
• Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
  12 Aug 2021 1 repository listed
  Then, we design a lightweight neural network with a multi-stage architecture to mimic the formed amended gradient descent process, in which efficient convolution and novel spectral zero-mean normalization are proposed…
• Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
  8 Aug 2021 1 repository listed
  With active research in audio compression techniques yielding substantial breakthroughs, spectral reconstruction of low-quality audio waves remains a less indulged topic.
• Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning
  18 Mar 2021 1 repository listed
  In this application, the spectrally coded light field camera can be interpreted as a single-shot spectral depth camera.

Syntology lines on 12 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.