most citedAIM 2020: Scene Relighting and Illumination Estimation Challenge

14 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20206 cited

AIM 2020 Challenge on Rendering Realistic Bokeh

Andrey Ignatov, Radu Timofte, Ming Qian +32

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…

cs.CV202014 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…

cs.CV2020

Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images

Hrishikesh P. S., Densen Puthussery, Melvin Kuriakose +1

Under-display camera (UDC) is a novel technology that can make digital imaging experience in handheld devices seamless by providing large screen-to-body ratio. UDC images are sever…

cs.CV2020

WDRN : A Wavelet Decomposed RelightNet for Image Relighting

Densen Puthussery, Hrishikesh P. S., Melvin Kuriakose +1

The task of recalibrating the illumination settings in an image to a target configuration is known as relighting. Relighting techniques have potential applications in digital photo…

eess.IV20205 cited

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou, Michael Kwan, Kyle Tolentino +42

This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…