Browse Benchmarks

169 variants across all task types and domains.

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Task-type tag

🛠 design 🌊 sci-sim 🔍 reconstruct 🔧 mismatch

Domain

Compressive 5 Medical 34 Medical Ultrasound 3 Coherent 5 Microscopy 24 Electron Microscopy 11 Clinical Optics 4 Computational 2 Computational Photography 5 Neural Rendering 2 Depth Imaging 5 Remote Sensing 11 Particle Imaging 3 Scanning Probe 4 Industrial Inspection 9 Spectroscopy 8 Astronomy 4 Ultrafast 4 Quantum 3 Experimental Science 11 Scientific Instrumentation 9 Multi-Modal Fusion 3

Compressive

CASSI

Coded Aperture Snapshot Spectral Imaging

reconstruct

M(mask) → W(α, a) → Σ_λ → D(g, η₄)

🥇 SSR-L + gradient 0.626

🥈 GAP-TV + gradient 0.593

🥉 MST-L + gradient 0.550

1 bench 0 public 0 hidden

CACTI

Coded Aperture Compressive Temporal Imaging

reconstruct

M(m_t) → Σ_t → D(g, η₄)

🥇 ELP-Unfolding + blind cal 0.191

🥈 EfficientSCI + blind cal 0.189

🥉 HiSViT-9 + blind cal 0.188

1 bench 0 public 0 hidden

SPC-Block

Single-Pixel Camera (Block Sensing)

reconstruct

S(block) → M(Φ) → Σ → D(g, η₁)

🥇 HATNet + gradient 0.651

🥈 ISTA-Net + gradient 0.647

🥉 FISTA-TV + gradient 0.633

1 bench 0 public 0 hidden

SPC-Kronecker

Single-Pixel Camera (Kronecker Sensing)

reconstruct

M(H⊗W) → D(g, η₁)

🥇 PnP-DRUNet + blind cal 0.714

🥈 FISTA-TV (tuned) + blind cal 0.691

🥉 FISTA-TV (paper) + blind cal 0.686

1 bench 0 public 0 hidden

Matrix

Generic Matrix Sensing

reconstruct

M(Φ) → D(g, η₁)

🥇 ScoreSCI + gradient 0.769

🥈 FlowHSI + gradient 0.763

🥉 CSTrans + gradient 0.754

1 bench 0 public 0 hidden

Medical

CT

X-ray Computed Tomography

reconstruct

R(θ) → Π(fan) → D(g, η₁)

🥇 CT-FM + gradient 0.844

🥈 Score-CT + gradient 0.824

🥉 CT-MAE + gradient 0.823

1 bench 0 public 0 hidden

CBCT

Cone-Beam Computed Tomography

reconstruct

R(θ) → Π(cone) → D(g, η₁)

🥇 CTFormer + gradient 0.787

🥈 DuDoTrans + gradient 0.782

🥉 DiffusionCBCT + gradient 0.745

1 bench 0 public 0 hidden

PET

Positron Emission Tomography

reconstruct

Π(LOR) → Σ_t → D(g, η₃)

🥇 PET-ViT + gradient 0.775

🥈 U-Net-PET + gradient 0.753

🥉 PETFormer + gradient 0.730

1 bench 0 public 0 hidden

SPECT

Single Photon Emission Computed Tomography

reconstruct

Π(parallel) → Σ_E → D(g, η₃)

🥇 PET-ViT + gradient 0.785

🥈 PETFormer + gradient 0.762

🥉 TransEM + gradient 0.696

1 bench 0 public 0 hidden

X-ray Radiography

reconstruct

Π(proj) → D(g, η₁)

🥇 CTFormer + gradient 0.803

🥈 CT-ViT + gradient 0.797

🥉 DOLCE + gradient 0.771

1 bench 0 public 0 hidden

Mammography

reconstruct

Π(contact) → D(g, η₁)

🥇 CT-ViT + gradient 0.801

🥈 CTFormer + gradient 0.795

🥉 DiffusionCT + gradient 0.791

1 bench 0 public 0 hidden

Fluoroscopy

reconstruct

Π(proj) → Σ_t → D(g, η₁)

🥇 PhysFluoro + gradient 0.790

🥈 TransFluoro + gradient 0.774

🥉 DiffFluoro + gradient 0.773

1 bench 0 public 0 hidden

X-ray Angiography

reconstruct

Π(proj) → D(g, η₁)

🥇 AngioFormer + gradient 0.741

🥈 NeRF-Angio + gradient 0.729

🥉 DiffusionAngio + gradient 0.700

1 bench 0 public 0 hidden

DEXA

Dual-Energy X-ray Absorptiometry

reconstruct

Λ(E₁,E₂) → Π(proj) → D(g, η₁)

🥇 SwinDXA + gradient 0.789

🥈 PhysDXA + gradient 0.776

🥉 DiffusionDXA + gradient 0.764

1 bench 0 public 0 hidden

DOT

Diffuse Optical Tomography

reconstruct

P(diffuse) → Σ → D(g, η₃)

🥇 DiffusionDOT + gradient 0.787

🥈 PhysDOT + gradient 0.752

🥉 SwinDOT + gradient 0.738

1 bench 0 public 0 hidden

Photoacoustic

Photoacoustic Imaging

reconstruct

P(acoustic) → Σ_t → D(g, η₂)

🥇 PAT-Former + gradient 0.682

🥈 Deep-PAI + gradient 0.602

🥉 Universal Back-Proj + gradient 0.551

1 bench 0 public 0 hidden

MRI

Magnetic Resonance Imaging

reconstruct

F(k-traj) → D(g, η₁)

🥇 SwinMR++ + gradient 0.847

🥈 HUMUS-Net++ + gradient 0.838

🥉 MRI-FM + gradient 0.824

1 bench 0 public 0 hidden

fMRI

Functional MRI (BOLD)

reconstruct

F(EPI) → Σ_t → D(g, η₁)

🥇 SwinMR++ + gradient 0.846

🥈 HUMUS-Net++ + gradient 0.845

🥉 ReconFormer++ + gradient 0.837

1 bench 0 public 0 hidden

Diffusion MRI

Diffusion MRI (DTI)

reconstruct

F(EPI) → D(g, η₁)

🥇 DiffusionDTI + gradient 0.777

🥈 PhysDiffMRI + gradient 0.752

🥉 SwinDTI + gradient 0.725

1 bench 0 public 0 hidden

MRS

MR Spectroscopy

reconstruct

F(FID) → D(g, η₁)

🥇 SwinMR++ + gradient 0.848

🥈 PnP-DnCNN-Pro + gradient 0.846

🥉 HUMUS-Net++ + gradient 0.838

1 bench 0 public 0 hidden

PET/CT

Positron Emission Tomography / Computed Tomography

reconstruct

R(θ) → D(μ_ct) → Π(LOR) → D(g, η)

🥇 CTFormer + gradient 0.813

🥈 CT-ViT + gradient 0.792

🥉 DiffusionCT + gradient 0.781

1 bench 0 public 0 hidden

PET/MR

Positron Emission Tomography / Magnetic Resonance

reconstruct

F(k) → S(coil) → D(μ_mr) → R(θ) → D(g, η)

🥇 PET-ViT + gradient 0.778

🥈 PETFormer + gradient 0.731

🥉 U-Net-PET + gradient 0.711

1 bench 0 public 0 hidden

SPECT/CT

Single Photon Emission CT / Computed Tomography

reconstruct

R(θ) → D(μ_ct) → H(coll) → D(g, η)

🥇 DL-SPECT + gradient 0.730

🥈 MAP-OSEM + gradient 0.717

🥉 AC-OSEM + gradient 0.695

1 bench 0 public 0 hidden

Spectral CT

Dual-Energy / Spectral Computed Tomography

reconstruct

R(θ) → A(E_low, E_high) → Σ_mat → D(g, η)

🥇 CT-ViT + gradient 0.784

🥈 CTFormer + gradient 0.782

🥉 DiffusionCT + gradient 0.777

1 bench 0 public 0 hidden

Industrial CT

Industrial Computed Tomography

reconstruct

R(θ) → B(poly) → S(scatter) → D(g, η)

🥇 FBPConvNet + gradient 0.743

🥈 FDK + gradient 0.697

🥉 PnP-ADMM + gradient 0.692

1 bench 0 public 0 hidden

Arterial Spin Labeling (ASL) MRI

reconstruct

M → F → S → D

🥇 Score-MRI (ASL) + gradient 0.749

🥈 PromptMR + gradient 0.733

🥉 ReconFormer + gradient 0.721

1 bench 0 public 0 hidden

Brachytherapy Imaging

reconstruct

Π → D

🥇 DiffusionSeed + gradient 0.785

🥈 CTFormer + gradient 0.764

🥉 DuDoTrans + gradient 0.763

1 bench 0 public 0 hidden

CEST MRI

reconstruct

M → F → S → D

🥇 PromptCEST + gradient 0.771

🥈 CESTFormer + gradient 0.758

🥉 DiffusionCEST + gradient 0.747

1 bench 0 public 0 hidden

Contrast-Enhanced Ultrasound (CEUS)

reconstruct

P → R → D

🥇 SUPER-ULM + gradient 0.774

🥈 CEUSF-Transformer + gradient 0.765

🥉 DiffusionCEUS + gradient 0.763

1 bench 0 public 0 hidden

Confocal Laser Endomicroscopy (CLE)

reconstruct

M → C → D

🥇 DiffusionEndo + gradient 0.785

🥈 Restormer-CLE + gradient 0.784

🥉 SwinIR-CLE + gradient 0.728

1 bench 0 public 0 hidden

Digital Breast Tomosynthesis (DBT)

reconstruct

Π → D

🥇 PhysDBT + gradient 0.769

🥈 DiffusionDBT + gradient 0.749

🥉 SwinDBT + gradient 0.745

1 bench 0 public 0 hidden

Intravascular Ultrasound (IVUS)

reconstruct

P → D

🥇 ScoreUS + gradient 0.738

🥈 UltrasoundFormer + gradient 0.736

🥉 DiffUS + gradient 0.736

1 bench 0 public 0 hidden

MR Elastography (MRE)

reconstruct

M → F → S → D

🥇 SwinMR++ + gradient 0.858

🥈 ReconFormer++ + gradient 0.836

🥉 PnP-DnCNN-Pro + gradient 0.835

1 bench 0 public 0 hidden

MR Fingerprinting (MRF)

reconstruct

M → F → S → D

🥇 MRF-Former + gradient 0.718

🥈 MANTIS + gradient 0.609

🥉 MRF-Net + gradient 0.576

1 bench 0 public 0 hidden

MR Angiography (MRA)

reconstruct

M → F → S → D

🥇 HUMUS-Net++ + gradient 0.852

🥈 SwinMR++ + gradient 0.832

🥉 MRI-FM + gradient 0.831

1 bench 0 public 0 hidden

Functional Near-Infrared Spectroscopy (fNIRS)

reconstruct

M → R → P → D

🥇 DL-DOT + gradient 0.715

🥈 PnP-DOT + gradient 0.710

🥉 MBLL + gradient 0.690

1 bench 0 public 0 hidden

Portal Imaging (EPID)

reconstruct

Π → D

🥇 CTFormer + gradient 0.790

🥈 Score-CT + gradient 0.790

🥉 CT-ViT + gradient 0.779

1 bench 0 public 0 hidden

Proton Therapy Imaging

reconstruct

Π → D

🥇 CT-ViT + gradient 0.803

🥈 CTFormer + gradient 0.797

🥉 Score-CT + gradient 0.755

1 bench 0 public 0 hidden

Susceptibility-Weighted Imaging (SWI)

reconstruct

M → F → S → D

🥇 HUMUS-Net++ + gradient 0.854

🥈 SwinMR++ + gradient 0.846

🥉 ReconFormer++ + gradient 0.842

1 bench 0 public 0 hidden

Medical Ultrasound

Ultrasound

Ultrasound Imaging

reconstruct

P(acoustic) → Σ_t → D(g, η₂)

🥇 BeamDATA + gradient 0.731

🥈 UltrasoundFormer + gradient 0.730

🥉 AttentionBeam + gradient 0.728

1 bench 0 public 0 hidden

Doppler Ultrasound

reconstruct

P(acoustic) → Σ_t → D(g, η₂)

🥇 SwinDoppler + gradient 0.775

🥈 PhysDoppler + gradient 0.773

🥉 DiffDoppler + gradient 0.762

1 bench 0 public 0 hidden

Elastography

Shear-Wave Elastography

reconstruct

P(shear) → Σ_t → D(g, η₂)

🥇 DiffElasto + gradient 0.782

🥈 SwinElasto + gradient 0.773

🥉 PhysElasto + gradient 0.762

1 bench 0 public 0 hidden

Coherent

Holography

Digital Holographic Microscopy

reconstruct

P(Fresnel) → D(g, η₁)

🥇 AutoPhase++ + gradient 0.714

🥈 HolographyViT + gradient 0.714

🥉 ScorePhase + gradient 0.713

1 bench 0 public 0 hidden

Ptychography

Ptychographic Imaging

reconstruct

P(probe) → D(g, η₁)

🥇 AutoPhaseNN + gradient 0.666

🥈 sDR + gradient 0.661

🥉 PtychoNN + gradient 0.643

1 bench 0 public 0 hidden

CDI

Coherent Diffractive Imaging

reconstruct

P(far-field) → D(g, η₁)

🥇 HolographyViT + gradient 0.738

🥈 AutoPhase++ + gradient 0.735

🥉 PhaseFormer + gradient 0.716

1 bench 0 public 0 hidden

Optical Diffraction Tomography (ODT)

reconstruct

P → D

🥇 Rytov-Former + gradient 0.706

🥈 ODT-Net + gradient 0.663

🥉 Born-ADMM + gradient 0.615

1 bench 0 public 0 hidden

Talbot-Lau X-ray Grating Interferometry

reconstruct

M → P → D

🥇 GratingFormer + gradient 0.700

🥈 DPC-Net + gradient 0.549

🥉 PCA Retrieval + gradient 0.535

1 bench 0 public 0 hidden

Microscopy

Widefield

Widefield Fluorescence Microscopy

reconstruct

C(PSF) → D(g, η₃)

🥇 Restormer + gradient 0.770

🥈 Restormer+ + gradient 0.767

🥉 DiffDeconv + gradient 0.766

1 bench 0 public 0 hidden

Widefield Low-Dose

Low-Dose Widefield Microscopy

reconstruct

C(PSF) → D(g, η₃)

🥇 DeconvFormer + gradient 0.785

🥈 ScoreMicro + gradient 0.772

🥉 DiffDeconv + gradient 0.764

1 bench 0 public 0 hidden

Confocal Live-Cell

Confocal Live-Cell Microscopy

reconstruct

C(PSF_confocal) → D(g, η₃)

🥇 DiffusionCell + gradient 0.765

🥈 Restormer-Micro + gradient 0.758

🥉 SwinIR-LiveCell + gradient 0.742

1 bench 0 public 0 hidden

Confocal 3D

Confocal 3D Z-Stack

reconstruct

C(PSF_3D) → D(g, η₃)

🥇 SwinIR-3D + gradient 0.779

🥈 DiffusionMicro + gradient 0.771

🥉 Restormer-3D + gradient 0.767

1 bench 0 public 0 hidden

Light-Sheet

Light-Sheet Fluorescence Microscopy

reconstruct

C(PSF_sheet) → D(g, η₃)

🥇 Restormer+ + gradient 0.785

🥈 ScoreMicro + gradient 0.780

🥉 Restormer + gradient 0.773

1 bench 0 public 0 hidden

Two-Photon

Two-Photon / Multiphoton Microscopy

reconstruct

C(PSF_2P) → D(g, η₃)

🥇 DeconvFormer + gradient 0.796

🥈 Restormer+ + gradient 0.767

🥉 Restormer + gradient 0.760

1 bench 0 public 0 hidden

STED

STED Microscopy

reconstruct

C(PSF_STED) → D(g, η₃)

🥇 Restormer+ + gradient 0.785

🥈 DeconvFormer + gradient 0.768

🥉 ScoreMicro + gradient 0.760

1 bench 0 public 0 hidden

TIRF

TIRF Microscopy

reconstruct

C(PSF_TIRF) → D(g, η₃)

🥇 DeconvFormer + gradient 0.762

🥈 Restormer+ + gradient 0.761

🥉 DiffDeconv + gradient 0.743

1 bench 0 public 0 hidden

SIM

Structured Illumination Microscopy

reconstruct

S(grating) → C(PSF) → Σ_φ → D(g, η₃)

🥇 SIMformer + gradient 0.773

🥈 DL-SIM + gradient 0.676

🥉 PnP-SIM + gradient 0.660

1 bench 0 public 0 hidden

FPM

Fourier Ptychographic Microscopy

reconstruct

S(LED array) → C(PSF_NA) → Σ_θ → D(g, η₁)

🥇 PtychoDV + gradient 0.679

🥈 Gradient Descent FPM + gradient 0.656

🥉 Fourier PtychoNet + gradient 0.592

1 bench 0 public 0 hidden

FLIM

Fluorescence Lifetime Imaging

reconstruct

C(PSF) → Σ_t → D(g, η₃)

🥇 SwinFLIM + gradient 0.774

🥈 PhysFLIM + gradient 0.758

🥉 DiffFLIM + gradient 0.751

1 bench 0 public 0 hidden

PALM/STORM

PALM/STORM Single-Molecule Localization

reconstruct

C(PSF) → D(g, η₃)

🥇 DECODE + gradient 0.674

🥈 Deep-STORM + gradient 0.587

🥉 FALCON + gradient 0.540

1 bench 0 public 0 hidden

Polarization

Polarization Microscopy

reconstruct

M(polarizer) → C(PSF) → D(g, η₁)

🥇 Restormer+ + gradient 0.770

🥈 ScoreMicro + gradient 0.763

🥉 DeconvFormer + gradient 0.754

1 bench 0 public 0 hidden

Dark-Field Microscopy

reconstruct

C → D

🥇 DiffusionDF + gradient 0.784

🥈 Restormer-DF + gradient 0.776

🥉 SwinIR-DF + gradient 0.772

1 bench 0 public 0 hidden

Differential Interference Contrast (DIC)

reconstruct

M → C → D

🥇 SwinDIC + gradient 0.762

🥈 DiffusionDIC + gradient 0.761

🥉 PhysPhase-Net + gradient 0.727

1 bench 0 public 0 hidden

DNA-PAINT Super-Resolution

reconstruct

M → D

🥇 DiffPAINT + gradient 0.794

🥈 PhysSTORM + gradient 0.777

🥉 SwinSTORM + gradient 0.766

1 bench 0 public 0 hidden

Expansion Microscopy (ExM)

reconstruct

C → D

🥇 DiffExM + gradient 0.784

🥈 SwinExM + gradient 0.773

🥉 TransExM + gradient 0.764

1 bench 0 public 0 hidden

Image Scanning Microscopy (ISM)

reconstruct

C → D

🥇 Restormer+ + gradient 0.785

🥈 DeconvFormer + gradient 0.759

🥉 ResUNet + gradient 0.739

1 bench 0 public 0 hidden

Lattice Light-Sheet Microscopy

reconstruct

C → D

🥇 DeconvFormer + gradient 0.776

🥈 Restormer + gradient 0.753

🥉 ScoreMicro + gradient 0.743

1 bench 0 public 0 hidden

MINFLUX Nanoscopy

reconstruct

C → D

🥇 ANNA-PALM + gradient 0.672

🥈 DECODE + gradient 0.667

🥉 MLE Localization + gradient 0.649

1 bench 0 public 0 hidden

Phase Contrast Microscopy

reconstruct

C → D

🥇 PhaseFormer + gradient 0.732

🥈 DPC-ADMM + gradient 0.640

🥉 QPI-Net + gradient 0.612

1 bench 0 public 0 hidden

Second Harmonic Generation (SHG) Microscopy

reconstruct

M → R → D

🥇 Restormer+ + gradient 0.787

🥈 ScoreMicro + gradient 0.764

🥉 DeconvFormer + gradient 0.761

1 bench 0 public 0 hidden

Spinning Disk Confocal Microscopy

reconstruct

C → D

🥇 DeconvFormer + gradient 0.780

🥈 Restormer+ + gradient 0.774

🥉 ScoreMicro + gradient 0.747

1 bench 0 public 0 hidden

Three-Photon Microscopy

reconstruct

C → D

🥇 ScoreMicro + gradient 0.781

🥈 DeconvFormer + gradient 0.767

🥉 ResUNet + gradient 0.743

1 bench 0 public 0 hidden

Electron Microscopy

SEM

Scanning Electron Microscopy

reconstruct

P(e⁻ beam) → C(probe) → D(g, η₁)

🥇 SwinIR + gradient 0.713

🥈 Noise2Void + gradient 0.567

🥉 BM3D + gradient 0.565

1 bench 0 public 0 hidden

TEM

Transmission Electron Microscopy

reconstruct

P(e⁻) → C(CTF) → D(g, η₁)

🥇 SwinIR + gradient 0.743

🥈 BM3D + gradient 0.626

🥉 Noise2Void + gradient 0.600

1 bench 0 public 0 hidden

STEM

Scanning TEM

reconstruct

P(e⁻) → C(probe) → D(g, η₁)

🥇 SwinIR + gradient 0.683

🥈 BM3D + gradient 0.649

🥉 Noise2Void + gradient 0.601

1 bench 0 public 0 hidden

Electron Tomo

Electron Tomography

reconstruct

R(θ) → P(e⁻) → Π(proj) → D(g, η₁)

🥇 DiffET + gradient 0.764

🥈 SwinET + gradient 0.763

🥉 PhysET + gradient 0.714

1 bench 0 public 0 hidden

4D-STEM

4D-STEM Electron Diffraction

reconstruct

P(e⁻) → F(diffraction) → D(g, η₁)

🥇 DiffED + gradient 0.767

🥈 PhysED + gradient 0.752

🥉 SwinED + gradient 0.747

1 bench 0 public 0 hidden

Electron Holography

reconstruct

P(e⁻) → Σ(interference) → D(g, η₁)

🥇 SwinHolo + gradient 0.751

🥈 DiffHolo + gradient 0.742

🥉 PhysHolo + gradient 0.737

1 bench 0 public 0 hidden

EBSD

Electron Backscatter Diffraction

reconstruct

P(e⁻) → Π(backscatter) → D(g, η₁)

🥇 PhysEBSD + gradient 0.770

🥈 SwinEBSD + gradient 0.745

🥉 DiffEBSD + gradient 0.742

1 bench 0 public 0 hidden

EELS

Electron Energy Loss Spectroscopy

reconstruct

P(e⁻) → Λ(energy) → D(g, η₁)

🥇 SwinEELS + gradient 0.773

🥈 PhysEELS + gradient 0.768

🥉 DiffEELS + gradient 0.751

1 bench 0 public 0 hidden

Cryo-Electron Tomography (Cryo-ET)

reconstruct

Π → D

🥇 DiffusionET + gradient 0.719

🥈 ETFormer + gradient 0.712

🥉 DeePiCt + gradient 0.695

1 bench 0 public 0 hidden

STEM-EDX Elemental Mapping

reconstruct

M → R → D

🥇 SwinEDX + gradient 0.778

🥈 PhysEDX + gradient 0.772

🥉 TransEDX + gradient 0.753

1 bench 0 public 0 hidden

Focused Ion Beam SEM (FIB-SEM)

reconstruct

S → C → D

🥇 PhysFIB + gradient 0.785

🥈 DiffFIB + gradient 0.783

🥉 SwinFIB + gradient 0.772

1 bench 0 public 0 hidden

Clinical Optics

Fundus

Fundus Camera

reconstruct

C(PSF_optic) → D(g, η₁)

🥇 Swin-Fundus + gradient 0.684

🥈 cofe-Net + gradient 0.656

🥉 PnP-BM3D + gradient 0.630

1 bench 0 public 0 hidden

OCT

Optical Coherence Tomography

reconstruct

P(low-coherence) → Σ(interference) → D(g, η₁)

🥇 SpeckleFormer + gradient 0.773

🥈 RetinalFormer + gradient 0.771

🥉 OCT-ViT + gradient 0.770

1 bench 0 public 0 hidden

OCTA

OCT Angiography

reconstruct

P(low-coherence) → Σ(interference) → D(g, η₁)

🥇 DiffusionOCT + gradient 0.776

🥈 OCT-ViT + gradient 0.767

🥉 ScoreOCT + gradient 0.761

1 bench 0 public 0 hidden

Endoscopy

Fiber Bundle Endoscopy

reconstruct

C(PSF_fiber) → D(g, η₁)

🥇 SwinEndo + gradient 0.779

🥈 TransEndo + gradient 0.774

🥉 PhysEndo + gradient 0.769

1 bench 0 public 0 hidden

Computational

Light Field

Light Field Imaging

reconstruct

Π(micro-lens) → D(g, η₁)

🥇 DistgSSR + gradient 0.724

🥈 LFNet + gradient 0.670

🥉 PnP-LF + gradient 0.552

1 bench 0 public 0 hidden

Integral

Integral Photography

reconstruct

Π(lens-array) → D(g, η₁)

🥇 DistgSSR + gradient 0.741

🥈 LFAttNet + gradient 0.679

🥉 PnP-LF + gradient 0.663

1 bench 0 public 0 hidden

Computational Photography

Lensless

Lensless (Diffuser Camera) Imaging

reconstruct

P(diffuser) → D(g, η₁)

🥇 Uformer + gradient 0.701

🥈 FlatNet + gradient 0.645

🥉 PnP-ADMM + gradient 0.611

1 bench 0 public 0 hidden

Panorama

Panorama Multi-Focus Fusion

reconstruct

C(PSF_focus) → Σ_f → D(g, η₁)

🥇 PanoFormer + gradient 0.727

🥈 UDIS + gradient 0.666

🥉 APAP + gradient 0.656

1 bench 0 public 0 hidden

Coded Exposure / Flutter Shutter

reconstruct

M → C → D

🥇 DiffusionDeblur + gradient 0.756

🥈 Restormer-Deblur + gradient 0.755

🥉 MPRNet + gradient 0.746

1 bench 0 public 0 hidden

Event Camera / Dynamic Vision Sensor (DVS)

reconstruct

M → D

🥇 DiffEvent + gradient 0.790

🥈 PhysEvent + gradient 0.755

🥉 SwinEvent + gradient 0.745

1 bench 0 public 0 hidden

High Dynamic Range (HDR) Imaging

reconstruct

M → Σ → D

🥇 DeblurGaussian + gradient 0.791

🥈 HDRFormer + gradient 0.781

🥉 PhotoFormer + gradient 0.770

1 bench 0 public 0 hidden

Neural Rendering

NeRF

Neural Radiance Fields

reconstruct

Π(ray) → Σ(volume) → D(g, η₁)

🥇 NeRFactor2 + gradient 0.742

🥈 3D-GS++ + gradient 0.712

🥉 GaussianShader + gradient 0.699

1 bench 0 public 0 hidden

3DGS

3D Gaussian Splatting

reconstruct

Π(splat) → Σ(alpha) → D(g, η₁)

🥇 2DGS + gradient 0.728

🥈 GaussianShader + gradient 0.721

🥉 NeRFactor2 + gradient 0.708

1 bench 0 public 0 hidden

Depth Imaging

ToF Camera

Time-of-Flight Depth Camera

reconstruct

P(modulated) → Σ(correlation) → D(g, η₁)

🥇 MPI-Former + gradient 0.677

🥈 DeepToF + gradient 0.664

🥉 PnP-ToF + gradient 0.614

1 bench 0 public 0 hidden

Structured Light

Structured-Light Depth Camera

reconstruct

S(pattern) → Π(triangulation) → D(g, η₁)

🥇 PhaseFormer + gradient 0.726

🥈 FPP-Net + gradient 0.681

🥉 Gray Code + gradient 0.599

1 bench 0 public 0 hidden

LiDAR

LiDAR Scanner

reconstruct

P(pulsed) → Σ(return) → D(g, η₁)

🥇 Point Transformer + gradient 0.720

🥈 Bilateral Filter + gradient 0.623

🥉 PnP-ADMM + gradient 0.618

1 bench 0 public 0 hidden

Flash LiDAR

reconstruct

P → D

🥇 DiffLiDAR + gradient 0.784

🥈 PhysLiDAR + gradient 0.776

🥉 SwinLiDAR + gradient 0.762

1 bench 0 public 0 hidden

Photometric Stereo

reconstruct

M → C → D

🥇 PS-Transformer + gradient 0.715

🥈 CNN-PS + gradient 0.683

🥉 Robust PCA + gradient 0.643

1 bench 0 public 0 hidden

Remote Sensing

SAR

Synthetic Aperture Radar

reconstruct

F(azimuth×range) → D(g, η₁)

🥇 DiffusionSAR + gradient 0.731

🥈 SARFormer + gradient 0.693

🥉 SAR-CAM + gradient 0.689

1 bench 0 public 0 hidden

Sonar

Sonar Imaging

reconstruct

P(acoustic) → Σ_t → D(g, η₂)

🥇 AcousticFormer + gradient 0.724

🥈 SonarNet + gradient 0.594

🥉 MVDR/Capon + gradient 0.501

1 bench 0 public 0 hidden

Ground-Penetrating Radar (GPR)

reconstruct

P → D

🥇 HyperDet + gradient 0.585

🥈 RTM + gradient 0.563

🥉 GPR-RCNN + gradient 0.529

1 bench 0 public 0 hidden

Hyperspectral Remote Sensing

reconstruct

M → W → Σ → D

🥇 MST++ + gradient 0.738

🥈 DBIN + gradient 0.643

🥉 CNMF + gradient 0.607

1 bench 0 public 0 hidden

Interferometric SAR (InSAR)

reconstruct

F → S → D

🥇 InSAR-Former + gradient 0.713

🥈 PhaseNet + gradient 0.596

🥉 InSAR-BM3D + gradient 0.539

1 bench 0 public 0 hidden

Multispectral Satellite Imaging

reconstruct

M → Σ → D

🥇 FlowCompute + gradient 0.765

🥈 SwinIR + gradient 0.756

🥉 Restormer + gradient 0.740

1 bench 0 public 0 hidden

Ocean Color Remote Sensing

reconstruct

M → Σ → D

🥇 AquaFormer + gradient 0.712

🥈 OC-Net + gradient 0.624

🥉 MUMM + gradient 0.593

1 bench 0 public 0 hidden

Passive Microwave Radiometry

reconstruct

Σ → D

🥇 MWR-Former + gradient 0.656

🥈 RadioNet + gradient 0.623

🥉 Tikhonov-SMOS + gradient 0.510

1 bench 0 public 0 hidden

Polarimetric SAR (PolSAR)

reconstruct

F → M → D

🥇 SARFormer + gradient 0.746

🥈 DiffusionSAR + gradient 0.706

🥉 PanSharpener++ + gradient 0.702

1 bench 0 public 0 hidden

Radio Interferometry (VLBI)

reconstruct

F → S → D

🥇 R2D2 + gradient 0.603

🥈 PRIMO + gradient 0.569

🥉 AIRI + gradient 0.560

1 bench 0 public 0 hidden

Weather / Doppler Radar

reconstruct

P → R → D

🥇 Earthformer + gradient 0.708

🥈 RainNet + gradient 0.618

🥉 CLEAN-AP + gradient 0.613

1 bench 0 public 0 hidden

Particle Imaging

Neutron Tomo

Neutron Radiography / Tomography

reconstruct

R(θ) → Π(neutron) → D(g, η₁)

🥇 PETFormer + gradient 0.731

🥈 TransEM + gradient 0.655

🥉 DeepPET + gradient 0.636

1 bench 0 public 0 hidden

Proton Radiography

reconstruct

Π(proton) → D(g, η₁)

🥇 pCT-Former + gradient 0.710

🥈 ProtonNet + gradient 0.584

🥉 DROP-TVS + gradient 0.575

1 bench 0 public 0 hidden

Muon Tomo

Muon Tomography

reconstruct

R(θ_cosmic) → Π(muon) → D(g, η₁)

🥇 TransEM + gradient 0.722

🥈 PETFormer + gradient 0.720

🥉 PET-ViT + gradient 0.677

1 bench 0 public 0 hidden

Scanning Probe

Atomic Force Microscopy (AFM)

reconstruct

S → D

🥇 SPM-Former + gradient 0.730

🥈 DiffusionAFM + gradient 0.695

🥉 DeepAFM + gradient 0.608

1 bench 0 public 0 hidden

Magnetic Force Microscopy (MFM)

reconstruct

S → M → D

🥇 SPM-Former + gradient 0.696

🥈 U-Net-SPM + gradient 0.639

🥉 E2E-BTR + gradient 0.614

1 bench 0 public 0 hidden

Near-field Scanning Optical Microscopy (NSOM)

reconstruct

M → C → D

🥇 DiffusionSPM + gradient 0.673

🥈 U-Net-SPM + gradient 0.672

🥉 SPM-Former + gradient 0.649

1 bench 0 public 0 hidden

Scanning Tunneling Microscopy (STM)

reconstruct

S → D

🥇 SPM-Former + gradient 0.725

🥈 E2E-BTR + gradient 0.662

🥉 DeepSPM + gradient 0.647

1 bench 0 public 0 hidden

Industrial Inspection

Scanning Acoustic Microscopy (SAM)

reconstruct

P → D

🥇 AcousticFormer + gradient 0.704

🥈 PINN-SAM + gradient 0.676

🥉 DiffusionSAM + gradient 0.670

1 bench 0 public 0 hidden

Active Thermography (IR)

reconstruct

P → D

🥇 ThermoFormer + gradient 0.735

🥈 DiffusionThermo + gradient 0.706

🥉 PINN-Thermo + gradient 0.680

1 bench 0 public 0 hidden

Eddy Current Imaging

reconstruct

F → D

🥇 DiffEC + gradient 0.783

🥈 PhysEC + gradient 0.760

🥉 SwinEC + gradient 0.758

1 bench 0 public 0 hidden

Machine Vision / AOI

reconstruct

C → D

🥇 UniAD + gradient 0.746

🥈 PatchCore + gradient 0.650

🥉 Template Match + gradient 0.631

1 bench 0 public 0 hidden

Shearography

reconstruct

M → P → D

🥇 PhaseFormer + gradient 0.687

🥈 ShearNet + gradient 0.665

🥉 PnP-Phase + gradient 0.583

1 bench 0 public 0 hidden

Terahertz Imaging (THz)

reconstruct

P → D

🥇 THz-Former + gradient 0.712

🥈 THz-Net + gradient 0.647

🥉 PnP-SPIRAL + gradient 0.618

1 bench 0 public 0 hidden

Ultrasonic Phased Array (TFM/FMC)

reconstruct

P → D

🥇 FMC-Former + gradient 0.719

🥈 UTPA-Net + gradient 0.667

🥉 SAFT + gradient 0.633

1 bench 0 public 0 hidden

X-ray NDT (Radiography)

reconstruct

Π → D

🥇 PnP-ADMM + gradient 0.708

🥈 FBPConvNet + gradient 0.704

🥉 DR-GAN + gradient 0.666

1 bench 0 public 0 hidden

X-ray Fluorescence (XRF) Imaging

reconstruct

M → R → D

🥇 SpectraFormer + gradient 0.739

🥈 XRF-UNet + gradient 0.645

🥉 PnP-BM3D + gradient 0.590

1 bench 0 public 0 hidden

Spectroscopy

Brillouin Microscopy

reconstruct

M → R → D

🥇 SpectraFormer + gradient 0.814

🥈 DiffusionSpectra + gradient 0.777

🥉 PINN-Brillouin + gradient 0.745

1 bench 0 public 0 hidden

Coherent Anti-Stokes Raman (CARS) Microscopy

reconstruct

M → R → D

🥇 FMDiff-CARS + gradient 0.789

🥈 SpecFormer-CARS + gradient 0.762

🥉 ResNet-CARS + gradient 0.733

1 bench 0 public 0 hidden

DESI Mass Spectrometry Imaging

reconstruct

S → D

🥇 MSIFormer + gradient 0.773

🥈 DiffusionMSI + gradient 0.768

🥉 MSI-GAN + gradient 0.699

1 bench 0 public 0 hidden

FTIR Spectroscopic Imaging

reconstruct

M → Σ → D

🥇 PINN-Spectra + gradient 0.708

🥈 Cascade-UNet + gradient 0.657

🥉 SpectraFormer + gradient 0.656

1 bench 0 public 0 hidden

Laser-Induced Breakdown Spectroscopy (LIBS) Imaging

reconstruct

M → R → D

🥇 SpectraFormer + gradient 0.717

🥈 DiffusionSpectra + gradient 0.673

🥉 Cascade-UNet + gradient 0.667

1 bench 0 public 0 hidden

Raman Imaging / Microscopy

reconstruct

M → R → D

🥇 U-Net-Spectra + gradient 0.679

🥈 Cascade-UNet + gradient 0.672

🥉 SpectraFormer + gradient 0.632

1 bench 0 public 0 hidden

Secondary Ion Mass Spectrometry (SIMS) Imaging

reconstruct

S → D

🥇 U-Net-Spectra + gradient 0.660

🥈 PINN-Spectra + gradient 0.648

🥉 CDAE + gradient 0.640

1 bench 0 public 0 hidden

Stimulated Raman Scattering (SRS) Microscopy

reconstruct

M → R → D

🥇 PINN-Spectra + gradient 0.643

🥈 Cascade-UNet + gradient 0.641

🥉 CDAE + gradient 0.638

1 bench 0 public 0 hidden

Astronomy

Stellar Coronagraphy

reconstruct

M → P → D

🥇 DiffusionCoron + gradient 0.768

🥈 CoronFormer + gradient 0.728

🥉 SpeckleLearn + gradient 0.685

1 bench 0 public 0 hidden

Event Horizon Telescope (EHT) Imaging

reconstruct

F → S → D

🥇 DiffVLBI + gradient 0.773

🥈 RadioFormer + gradient 0.766

🥉 PhysVLBI + gradient 0.743

1 bench 0 public 0 hidden

Lucky Imaging

reconstruct

M → C → D

🥇 SpeckleNet + gradient 0.573

🥈 Drizzle + gradient 0.544

🥉 Shift-and-Add + gradient 0.515

1 bench 0 public 0 hidden

Solar EUV/X-ray Imaging

reconstruct

M → P → D

🥇 SolarFormer + gradient 0.646

🥈 Pixon + gradient 0.605

🥉 Richardson-Lucy + gradient 0.569

1 bench 0 public 0 hidden

Ultrafast

Compressed Ultrafast Photography (CUP)

reconstruct

M → Σ → D

🥇 DiffusionCUP + gradient 0.800

🥈 DAUHST-CUP + gradient 0.799

🥉 STFormer-CUP + gradient 0.792

1 bench 0 public 0 hidden

Pump-Probe Microscopy

reconstruct

M → R → D

🥇 DynFormer + gradient 0.664

🥈 MCR-ALS + gradient 0.605

🥉 TAS-Net + gradient 0.546

1 bench 0 public 0 hidden

Streak Camera Imaging

reconstruct

M → Σ → D

🥇 UltraFormer + gradient 0.746

🥈 AL-DL + gradient 0.668

🥉 Temporal-U-Net + gradient 0.655

1 bench 0 public 0 hidden

XFEL Serial Femtosecond Crystallography (SFX)

reconstruct

M → R → D

🥇 CrysFormer + gradient 0.653

🥈 CNN Hit-Finder + gradient 0.642

🥉 CrystFEL + gradient 0.534

1 bench 0 public 0 hidden

Quantum

Entangled Photon Microscopy

reconstruct

M → R → D

🥇 SwinGhost + gradient 0.761

🥈 DiffGhost + gradient 0.738

🥉 TransGhost + gradient 0.712

1 bench 0 public 0 hidden

Ghost Imaging

reconstruct

M → Σ → D

🥇 Ghost-ViT + gradient 0.658

🥈 Quantum-ViT + gradient 0.639

🥉 ScoreQuantum + gradient 0.592

1 bench 0 public 0 hidden

Quantum Illumination

reconstruct

M → R → D

🥇 QuantumFormer + gradient 0.577

🥈 QI-Net + gradient 0.543

🥉 FF-SFG + gradient 0.487

1 bench 0 public 0 hidden

Experimental Science

Acoustic Emission Testing (AE)

reconstruct

P → S → D

🥇 SwinIR-AE + gradient 0.708

🥈 DiffusionAE + gradient 0.697

🥉 PINN-AE + gradient 0.644

1 bench 0 public 0 hidden

Adaptive Optics (AO) Imaging

reconstruct

M → C → D

🥇 AO-ViT + gradient 0.709

🥈 DiffusionAO + gradient 0.674

🥉 AO-Transformer + gradient 0.670

1 bench 0 public 0 hidden

Bioluminescence Tomography (BLT)

reconstruct

Src → R → P → D

🥇 PhysDiff-BLT + gradient 0.750

🥈 BLT-Former + gradient 0.717

🥉 DiffusionPINN-BLT + gradient 0.697

1 bench 0 public 0 hidden

Full-Waveform Inversion (FWI)

reconstruct

P → D

🥇 VelocityGAN + gradient 0.665

🥈 InversionNet + gradient 0.638

🥉 TV-Reg FWI + gradient 0.625

1 bench 0 public 0 hidden

Gravitational Wave Detection

reconstruct

P → Σ → D

🥇 WaveFormer + gradient 0.657

🥈 GW-CNN + gradient 0.603

🥉 BayesWave + gradient 0.526

1 bench 0 public 0 hidden

Electrical Impedance Tomography (EIT)

reconstruct

M → D

🥇 EIT-Former + gradient 0.593

🥈 D-bar CNN + gradient 0.530

🥉 TV-ADMM + gradient 0.485

1 bench 0 public 0 hidden

Magnetic Particle Imaging (MPI)

reconstruct

M → F → D

🥇 ScoreExperimental + gradient 0.691

🥈 SwinIR + gradient 0.687

🥉 Domain-Adapted-CNN + gradient 0.671

1 bench 0 public 0 hidden

Ocean Acoustic Tomography

reconstruct

P → D

🥇 SwinIR + gradient 0.708

🥈 Domain-Adapted-CNN + gradient 0.698

🥉 ScoreExperimental + gradient 0.689

1 bench 0 public 0 hidden

Particle Calorimetry

reconstruct

R → Σ → D

🥇 CaloDiffusion + gradient 0.645

🥈 GARFIELD++ + gradient 0.587

🥉 GravNet + gradient 0.553

1 bench 0 public 0 hidden

Radio Aperture Synthesis

reconstruct

F → S → D

🥇 PRIMO + gradient 0.652

🥈 R2D2 + gradient 0.618

🥉 AIRI + gradient 0.586

1 bench 0 public 0 hidden

Seismic Tomography

reconstruct

P → D

🥇 ExpFormer + gradient 0.703

🥈 SwinIR + gradient 0.694

🥉 ScoreExperimental + gradient 0.679

1 bench 0 public 0 hidden

Scientific Instrumentation

Atom Probe Tomography (APT)

reconstruct

S → D

🥇 EquivAPT + gradient 0.766

🥈 DiffusionAPT + gradient 0.736

🥉 APT-Former + gradient 0.693

1 bench 0 public 0 hidden

Cathodoluminescence (CL) Imaging

reconstruct

M → R → D

🥇 Restormer-CL + gradient 0.802

🥈 PINN-CL + gradient 0.751

🥉 SwinIR-CL + gradient 0.735

1 bench 0 public 0 hidden

Cryo-EM Single Particle Analysis

reconstruct

C → D

🥇 CryoSTAR + gradient 0.770

🥈 CryoFormer + gradient 0.751

🥉 DiffusionCryo + gradient 0.743

1 bench 0 public 0 hidden

MALDI Mass Spectrometry Imaging

reconstruct

S → D

🥇 CalibFormer + gradient 0.727

🥈 MassSpecFormer + gradient 0.595

🥉 Peak Fitting + gradient 0.589

1 bench 0 public 0 hidden

Neutron Diffraction

reconstruct

R → S → D

🥇 DiffFormer + gradient 0.691

🥈 NeutronNet + gradient 0.633

🥉 Le Bail Fit + gradient 0.618

1 bench 0 public 0 hidden

Small-Angle X-ray Scattering (SAXS)

reconstruct

R → D

🥇 ScatterFormer + gradient 0.694

🥈 ScatterNet + gradient 0.646

🥉 McSAS + gradient 0.627

1 bench 0 public 0 hidden

Wide-Angle X-ray Scattering (WAXS)

reconstruct

R → D

🥇 CrystalFormer + gradient 0.681

🥈 Rietveld-WAXS + gradient 0.625

🥉 WAXS-Net + gradient 0.623

1 bench 0 public 0 hidden

X-ray Crystallography

reconstruct

F → S → D

🥇 CrystFormer + gradient 0.676

🥈 DL-Phase + gradient 0.630

🥉 SHELXD + gradient 0.607

1 bench 0 public 0 hidden

X-ray Fluorescence Tomography

reconstruct

Π → R → D

🥇 CalibFormer + gradient 0.708

🥈 Instrument-CNN + gradient 0.663

🥉 ResNet-Calib + gradient 0.656

1 bench 0 public 0 hidden

Multi-Modal Fusion

Correlative Light-Electron Microscopy (CLEM)

reconstruct

(C → D) + (C → D) → ⊕

🥇 SwinCLEM + gradient 0.773

🥈 DiffusionCLEM + gradient 0.771

🥉 TransMorph + gradient 0.740

1 bench 0 public 0 hidden

CT + Fluorescence (FLIT)

reconstruct

(Π → D) + (M → R → P → D) → ⊕

🥇 DiffusionXRF + gradient 0.795

🥈 PnP-XRF + gradient 0.771

🥉 SwinXRF + gradient 0.760

1 bench 0 public 0 hidden

US/MRI Fusion

reconstruct

(P → D) + (M → F → S → D) → ⊕

🥇 TransMorph + gradient 0.691

🥈 B-spline FFD + gradient 0.595

🥉 VoxelMorph + gradient 0.591

1 bench 0 public 0 hidden