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Jinjin Gu

Researcher at University of Sydney

Publications -  9
Citations -  324

Jinjin Gu is an academic researcher from University of Sydney. The author has contributed to research in topics: Image restoration & Computer science. The author has an hindex of 5, co-authored 9 publications receiving 158 citations. Previous affiliations of Jinjin Gu include Amazon.com & Hong Kong Polytechnic University.

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Proceedings ArticleDOI

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

TL;DR: The 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) is reviewed with a focus on proposed solutions and results and the state-of-the-art in real-world single image super- resolution.
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Interpreting Super-Resolution Networks with Local Attribution Maps

TL;DR: This work proposes a novel attribution approach called local attribution map (LAM), which inherits the integral gradient method yet with two unique features: one is to use the blurred image as the baseline input, and the other is to adopt the progressive blurring function as the path function.
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Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.

TL;DR: Inspired by the find that the existing IQA methods have an unsatisfactory performance on the GAN-based distortion partially because of their low tolerance to spatial misalignment, a novel Space Warping Difference Network is proposed, which includes the novel l_2 pooling layers and Space Warped Difference layers.
Proceedings ArticleDOI

Interpreting Super-Resolution Networks with Local Attribution Maps

TL;DR: Li et al. as discussed by the authors proposed a local attribution map (LAM), which inherits the integral gradient method yet with two unique features: one is to use the blurred image as the baseline input, and the other is to adopt the progressive blurring function as the path function.