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Found 14 papers, 2 papers with code
IFQA: Interpretable Face Quality Assessment
Existing face restoration models have relied on general assessment metrics that do not consider the characteristics of facial regions.
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer
This task is designed for directly translating a blurry image input into its restored version as output.
Re-Aging GAN: Toward Personalized Face Age Transformation
Learned personalized age features are identity information that is recalibrated according to the target age.
5D Light Field Synthesis from a Monocular Video
To tackle this problem, we propose a deep learning-based method for synthesizing a light field video from a monocular video.
Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network
Recent convolutional neural network (CNN) based method has shown excellent performance by learning mapping relation using pairs of low-resolution (LR) and high-resolution (HR) facial images.
Joint Spatial and Angular Super-Resolution from a Single Image
The conventional method relies on physical-based rendering and a secondary network to solve the angular super-resolution problem.
Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction.
360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View
Conversely, conventional images represent scenes in a single viewing direction with a small or limited field of view (FOV).
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Restoring a sharp light field image from its blurry input has become essential due to the increasing popularity of parallax-based image processing.
Synthesizing a 4D Spatio-Angular Consistent Light Field from a Single Image
Synthesizing a densely sampled light field from a single image is highly beneficial for many applications.
Joint Blind Motion Deblurring and Depth Estimation of Light Field
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem.
Robust Light Field Depth Estimation for Noisy Scene With Occlusion
To remedy this problem, we present a light field depth estimation method which is more robust to occlusion and less sensitive to noise.
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
In this paper, we present a joint iterative anaglyph stereo matching and colorization framework for obtaining a set of disparity maps and colorized images.
Reflection Removal for In-Vehicle Black Box Videos
In this paper, we propose a novel method to remove the reflection on the windscreen in the in-vehicle black box videos.
