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Defocus and Motion Blur Detection with Deep Contextual Features
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
We propose a novel approach for detecting two kinds of partial blur, defocus and motion blur, by training a deep convolutional neural network. Existing blur detection methods concentrate on designing low-level features, ...
Semantic Reconstruction: Reconstruction of Semantically Segmented 3D Meshes via Volumetric Semantic Fusion
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Semantic segmentation partitions a given image or 3D model of a scene into semantically meaning parts and assigns predetermined labels to the parts. With well-established datasets, deep networks have been successfully used ...
Global Texture Mapping for Dynamic Objects
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We propose a novel framework to generate a global texture atlas for a deforming geometry. Our approach distinguishes from prior arts in two aspects. First, instead of generating a texture map for each timestamp to color a ...
Naturalness-Preserving Image Tone Enhancement Using Generative Adversarial Networks
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
This paper proposes a deep learning-based image tone enhancement approach that can maximally enhance the tone of an image while preserving the naturalness. Our approach does not require carefully generated ground-truth ...
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
This paper presents an effective method for generating a spatiotemporal (time-varying) texture map for a dynamic object using a single RGB-D camera. The input of our framework is a 3D template model and an RGB-D image ...
Real-Time Video Deblurring via Lightweight Motion Compensation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
While motion compensation greatly improves video deblurring quality, separately performing motion compensation and video deblurring demands huge computational overhead. This paper proposes a real-time video deblurring ...