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Found 14 papers, 3 papers with code
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
This paper reviews the NTIRE 2020 challenge on real world super-resolution.
AIM 2020: Scene Relighting and Illumination Estimation Challenge
The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i. e., light source position).
Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation
In an attempt to address this issue, previous method is to improve the realism of synthetic images by learning a model.
Augmented LiDAR Simulator for Autonomous Driving
Instead, we can simply deploy a vehicle with a LiDAR scanner to sweep the street of interests to obtain the background point cloud, based on which annotated point cloud can be automatically generated.
Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network
To solve this problem, the previous method learned a model to improve the realism of the synthetic image.
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification
Vehicle re-identification (reID) is to identify a target vehicle in different cameras with non-overlapping views.
Mask-guided Style Transfer Network for Purifying Real Images
To solve this problem, the previous method learned a model to improve the realism of the synthetic images.
Eliminating cross-camera bias for vehicle re-identification
Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras.
Attribute-guided Feature Learning Network for Vehicle Re-identification
Specially, an attribute-guided module is proposed in AGNet to generate the attribute mask which could inversely guide to select discriminative features for category classification.
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results.
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
Missing information can be restored well in this region, especially in HR videos, where the high-frequency content mostly consists of texture details.
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.
