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Papers

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Showing 651–700 of 1336 papers

TitleStatusHype
Pose-Guided Sign Language Video GAN with Dynamic Lambda—0
Posterior-Mean Denoising Diffusion Model for Realistic PET Image Reconstruction—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Practical Fast Gradient Sign Attack against Mammographic Image Classifier—0
Practical Issues of Action-conditioned Next Image Prediction—0
Precision Learning: Towards Use of Known Operators in Neural Networks—0
Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning—0
Predicting Hypoxia in Brain Tumors from Multiparametric MRI—0
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism—0
Prior Frequency Guided Diffusion Model for Limited Angle (LA)-CBCT Reconstruction—0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?—0
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution—0
PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders—0
PTSR: Patch Translator for Image Super-Resolution—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering—0
Quality assessment metrics for edge detection and edge-aware filtering: A tutorial review—0
Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping—0
Quantifying Perceptual Distortion of Adversarial Examples—0
Quantitative and Qualitative Evaluation of NLM and Wavelet Methods in Image Enhancement—0
Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network—0
Image Denoising with Machine Learning: A Novel Approach to Improve Quantum Image Processing Quality and Reliability—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution—0
RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation—0
Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping—0
Raw Bayer Pattern Image Synthesis for Computer Vision-oriented Image Signal Processing Pipeline Design—0
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler—0
Real Image Restoration via Structure-preserving Complementarity Attention—0
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit—0
Real-Time Computational Visual Aberration Correcting Display Through High-Contrast Inverse Blurring—0
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information—0
Real-Time Super-Resolution for Real-World Images on Mobile Devices—0
Reconstruction of compressed spectral imaging based on global structure and spectral correlation—0
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events—0
Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure—0
RectiNet-v2: A stacked network architecture for document image dewarping—0
Recursive Frequency Selective Reconstruction of Non-Regularly Sampled Video Data—0
ReflectNet - A Generative Adversarial Method for Single Image Reflection Suppression—0
Image restoration quality assessment based on regional differential information entropy—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
Removing Averaging: Personalized Lip-Sync Driven Characters Based on Identity Adapter—0
Removing cloud shadows from ground-based solar imagery—0
Reparo: Loss-Resilient Generative Codec for Video Conferencing—0
Representing Images in 200 Bytes: Compression via Triangulation—0
Resampling Images to a Regular Grid from a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction—0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution—0
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography—0
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Benchmark Results

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