SOTAVerified

SSIM

Papers

Showing 176200 of 1336 papers

TitleStatusHype
NightVision: Generating Nighttime Satellite Imagery from Infra-Red ObservationsCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timeCode1
Learning to Improve Image Compression without Changing the Standard DecoderCode1
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMMCode1
Recurrent Feature Reasoning for Image InpaintingCode1
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingCode1
Spatial-Angular Interaction for Light Field Image Super-ResolutionCode1
A Gated and Bifurcated Stacked U-Net Module for Document Image DewarpingCode1
OpenDVC: An Open Source Implementation of the DVC Video Compression MethodCode1
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelCode1
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection NetworksCode1
iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networksCode1
Attention-Guided Hierarchical Structure Aggregation for Image MattingCode1
Iterative Network for Image Super-ResolutionCode1
PreCNet: Next-Frame Video Prediction Based on Predictive CodingCode1
Learning an Adaptive Model for Extreme Low-light Raw Image ProcessingCode1
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channelCode1
RANSAC-Flow: generic two-stage image alignmentCode1
Robust Single-Image Super-Resolution via CNNs and TV-TV MinimizationCode1
Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazingCode1
Structure-Preserving Super Resolution with Gradient GuidanceCode1
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
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Benchmark Results

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