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Greatest papers with code

End-to-end Optimized Image Compression

5 Nov 2016tensorflow/models

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

IMAGE COMPRESSION MS-SSIM SSIM

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

CVPR 2018 richzhang/PerceptualSimilarity

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

SSIM

A Fully Progressive Approach to Single-Image Super-Resolution

9 Apr 2018fperazzi/proSR

Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality.

CURRICULUM LEARNING IMAGE SUPER-RESOLUTION SSIM

BASNet: Boundary-Aware Salient Object Detection

CVPR 2019 NathanUA/BASNet

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 SALIENCY PREDICTION SALIENT OBJECT DETECTION SSIM

AOD-Net: All-In-One Dehazing Network

ICCV 2017 kritiksoman/GIMP-ML

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 SSIM

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge

9 Dec 2020facebookresearch/fastMRI

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

MRI RECONSTRUCTION SSIM

Structure-Preserving Super Resolution with Gradient Guidance

CVPR 2020 Maclory/SPSR

In this paper, we propose a structure-preserving super resolution method to alleviate the above issue while maintaining the merits of GAN-based methods to generate perceptual-pleasant details.

IMAGE SUPER-RESOLUTION SSIM

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

30 Sep 2020HuiZeng/Image-Adaptive-3DLUT

The small CNN works on the down-sampled version of the input image to predict content-dependent weights to fuse the multiple basis 3D LUTs into an image-adaptive one, which is employed to transform the color and tone of source images efficiently.

SSIM

Single Image Reflection Separation with Perceptual Losses

CVPR 2018 ceciliavision/perceptual-reflection-removal

Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.

IMAGE ENHANCEMENT REFLECTION REMOVAL SSIM

RANSAC-Flow: generic two-stage image alignment

ECCV 2020 XiSHEN0220/RANSAC-Flow

Coarse alignment is performed using RANSAC on off-the-shelf deep features.

OPTICAL FLOW ESTIMATION SSIM