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Image Quality Assessment

29 papers with code · Computer Vision

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Greatest papers with code

Conditional Image Synthesis With Auxiliary Classifier GANs

ICML 2017 eriklindernoren/PyTorch-GAN

We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.

CONDITIONAL IMAGE GENERATION IMAGE QUALITY ASSESSMENT

NIMA: Neural Image Assessment

15 Sep 2017idealo/image-quality-assessment

Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications such as evaluating image capture pipelines, storage techniques and sharing media.

AESTHETICS QUALITY ASSESSMENT

Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

17 Feb 2019xialeiliu/RankIQA

Our results show that networks trained to regress to the ground truth targets for labeled data and to simultaneously learn to rank unlabeled data obtain significantly better, state-of-the-art results for both IQA and crowd counting.

ACTIVE LEARNING CROWD COUNTING IMAGE QUALITY ASSESSMENT LEARNING-TO-RANK

RankIQA: Learning from Rankings for No-reference Image Quality Assessment

ICCV 2017 xialeiliu/RankIQA

Furthermore, on the LIVE benchmark we show that our approach is superior to existing NR-IQA techniques and that we even outperform the state-of-the-art in full-reference IQA (FR-IQA) methods without having to resort to high-quality reference images to infer IQA.

NO-REFERENCE IMAGE QUALITY ASSESSMENT

Generative Adversarial Networks: A Survey and Taxonomy

4 Jun 2019sheqi/GAN_Review

We propose loss-variants and architecture-variants for classifying the most popular GANs, and discuss the potential improvements with focusing on these two aspects.

IMAGE INPAINTING IMAGE QUALITY ASSESSMENT IMAGE QUALITY ESTIMATION IMAGE SUPER-RESOLUTION IMAGE-TO-IMAGE TRANSLATION

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

6 Dec 2016dmaniry/deepIQA

We present a deep neural network-based approach to image quality assessment (IQA).

IMAGE QUALITY ASSESSMENT

Video Imagination from a Single Image with Transformation Generation

13 Jun 2017gitpub327/VideoImagination

To overcome those problems, we propose a new framework that produce imaginary videos by transformation generation.

IMAGE QUALITY ASSESSMENT

A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

28 Aug 2017HuiZeng/BIQA_Toolbox

Recognizing this, we propose a new representation of perceptual image quality, called probabilistic quality representation (PQR), to describe the image subjective score distribution, whereby a more robust loss function can be employed to train a deep BIQA model.

BLIND IMAGE QUALITY ASSESSMENT

Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images

18 Oct 2018lidq92/SFA

To guarantee a satisfying Quality of Experience (QoE) for consumers, it is required to measure image quality efficiently and reliably.

BLIND IMAGE QUALITY ASSESSMENT IMAGE QUALITY ESTIMATION NO-REFERENCE IMAGE QUALITY ASSESSMENT

Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?

IEEE Transactions on Multimedia 2018 lidq92/SFA

The proposed method, SFA, is compared with nine representative blur-specific NR-IQA methods, two general-purpose NR-IQA methods, and two extra full-reference IQA methods on Gaussian blur images (with and without Gaussian noise/JPEG compression) and realistic blur images from multiple databases, including LIVE, TID2008, TID2013, MLIVE1, MLIVE2, BID, and CLIVE.

BLIND IMAGE QUALITY ASSESSMENT IMAGE CLASSIFICATION IMAGE QUALITY ESTIMATION NO-REFERENCE IMAGE QUALITY ASSESSMENT