SOTAVerified

SSIM

Papers

Showing 451–500 of 1336 papers

TitleStatusHype
Deep Perceptual Compression—0
A New Approach for Super resolution by Using Web Images and FFT Based Image Registration—0
Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance—0
Enhancing image quality prediction with self-supervised visual masking—0
ChatStitch: Visualizing Through Structures via Surround-View Unsupervised Deep Image Stitching with Collaborative LLM-Agents—0
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation—0
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features—0
Enhancing Traffic Scene Predictions with Generative Adversarial Networks—0
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models—0
A Study on the Effect of Color Spaces in Learned Image Compression—0
Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI—0
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences—0
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results—0
EPSR: Edge Profile Super resolution—0
ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing—0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy—0
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery—0
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze—0
A Survey on Quality Metrics for Text-to-Image Generation—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Evaluating the Practicality of Learned Image Compression—0
Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling—0
EVRNet: Efficient Video Restoration on Edge Devices—0
Deep neural networks-based denoising models for CT imaging and their efficacy—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction—0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration—0
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression—0
Face Deblurring Based on Separable Normalization and Adaptive Denormalization—0
An Image Forensic Technique Based on JPEG Ghosts—0
A study of why we need to reassess full reference image quality assessment with medical images—0
Face sketch to photo translation using generative adversarial networks—0
A Coupling Enhancement Algorithm for ZrO2 Ceramic Bearing Ball Surface Defect Detection Based on Cartoon-texture Decomposition Model and Multi-Scale Filtering Method—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing—0
FAN: Frequency Aggregation Network for Real Image Super-resolution—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture—0
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network—0
3D Video Quality Metric for 3D Video Compression—0
Fast Separable Non-Local Means—0
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation—0
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model—0
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression—0
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RectiNetSSIM0.55—Unverified
2RectiNet-v2SSIM0.51—Unverified
3DewarpNetSSIM0.49—Unverified
4DocUNetSSIM0.41—Unverified