Titlebook: Computer Vision – ECCV 2020 Workshops; Glasgow, UK, August Adrien Bartoli,Andrea Fusiello Conference proceedings 2020 Springer Nature Swit

Peak-Bone-Mass

LarvaNet: Hierarchical Super-Resolution via Multi-exit Architectureitecture. Our experiments show that the proposed method achieves state-of-the-art SR performance with a reasonable number of parameters and running time. We also show that the multi-exit architecture of the proposed model allows us to control the trade-off between resource consumption and SR performance by selecting which exit point to be used.

Conducive

AIM 2020 Challenge on Learned Image Signal Processing Pipeline (PSNR and SSIM) with solutions’ perceptual results measured in a user study. The proposed solutions significantly improved the baseline results, defining the state-of-the-art for practical image signal processing pipeline modeling.

EWE

PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing subpixel reconstruction module. We demonstrate the performance of the proposed method with comparative experiments and results from the AIM 2020 learned smartphone ISP challenge. The source code of our implementation is available at ..

Cabinet

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokehlemented in our network, which ensures our tflite model with IN can be accelerated on smartphone GPU. Experiments show that our method is able to render a high-quality bokeh effect and process one . pixel image in 1.9?s on all smartphone chipsets. This approach ranked First in AIM 2020 Rendering Realistic Bokeh Challenge Track 1 & Track 2.

緩和

VEIL

NATTY

Throttle

headway

0302-9743 ceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics..Part III includes the Advances in Image Manipulation Workshop and Challenges.?.978-3-030-67069-6978-3-030-67070-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

ACTIN

Conference proceedings 2020ropean Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic..The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings w