SSIM

150 papers with code • 1 benchmarks • 4 datasets

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Greatest papers with code

End-to-end Optimized Image Compression

tensorflow/models 5 Nov 2016

We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear synthesis transformation.

Image Compression MS-SSIM +1

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

richzhang/PerceptualSimilarity CVPR 2018

We systematically evaluate deep features across different architectures and tasks and compare them with classic metrics.

SSIM

SDCNet: Video Prediction Using Spatially-Displaced Convolution

NVIDIA/semantic-segmentation 2 Nov 2018

We present an approach for high-resolution video frame prediction by conditioning on both past frames and past optical flows.

Optical Flow Estimation SSIM +1

SDC-Net: Video prediction using spatially-displaced convolution

NVIDIA/semantic-segmentation ECCV 2018

We present an approach for high-resolution video frame prediction by conditioning on both past frames and past optical flows.

Optical Flow Estimation SSIM +1

BASNet: Boundary-Aware Salient Object Detection

NathanUA/BASNet CVPR 2019

In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.

Camouflaged Object Segmentation RGB Salient Object Detection +3

AOD-Net: All-In-One Dehazing Network

kritiksoman/GIMP-ML ICCV 2017

This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net).

Image Dehazing Object Detection +1

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

facebookresearch/fastMRI 9 Dec 2020

Accelerating MRI scans is one of the principal outstanding problems in the MRI research community.

MRI Reconstruction SSIM

Variational image compression with a scale hyperprior

tensorflow/compression ICLR 2018

We describe an end-to-end trainable model for image compression based on variational autoencoders.

Image Compression MS-SSIM +1

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

InterDigitalInc/CompressAI 5 Nov 2020

This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.

Image Compression MS-SSIM +2

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

InterDigitalInc/CompressAI NeurIPS 2018

While it is well known that autoregressive models come with a significant computational penalty, we find that in terms of compression performance, autoregressive and hierarchical priors are complementary and, together, exploit the probabilistic structure in the latents better than all previous learned models.

Image Compression MS-SSIM +1