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09/19/2023
SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis
While recent 3D-aware generative models have shown photo-realistic image...
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09/19/2023
360^∘ Reconstruction From a Single Image Using Space Carved Outpainting
We introduce POP3D, a novel framework that creates a full 360^∘-view 3D ...
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09/16/2023
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
We present ExBluRF, a novel view synthesis method for extreme motion blu...
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07/06/2023
On the Spatial-Wideband Effects in Millimeter-Wave Cell-Free Massive MIMO
In this paper, we investigate the spatial-wideband effects in cell-free ...
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06/21/2023
Neural Spectro-polarimetric Fields
Modeling the spatial radiance distribution of light rays in a scene has ...
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06/15/2023
Migrant Laborer's Optimization Mechanism Under Employment Permit System(EPS): Introducing and Analyzing 'Skill-Relevance-Self Selection' Model
Migrant laborers subject to ROK's Employment Permit System(EPS) must str...
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06/14/2023
Intranational Skill-relevance Model of the Immigrant's Self-selection: Further Evidence of the Stylized Fact from the E-9 Employment Permit System (EPS)
This study expands upon the foundation of 'Skill-Relevance-Self Selectio...
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03/27/2023
Human Pose Estimation in Extremely Low-Light Conditions
We study human pose estimation in extremely low-light images. This task ...
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11/30/2022
Dr.3D: Adapting 3D GANs to Artistic Drawings
While 3D GANs have recently demonstrated the high-quality synthesis of m...
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11/26/2022
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains
Few-shot domain adaptation to multiple domains aims to learn a complex i...
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07/20/2022
BigColor: Colorization using a Generative Color Prior for Natural Images
For realistic and vivid colorization, generative priors have recently be...
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07/15/2022
Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
Federated learning (FL) is a novel learning paradigm that addresses the ...
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05/25/2022
Real-Time Video Deblurring via Lightweight Motion Compensation
While motion compensation greatly improves video deblurring quality, sep...
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03/28/2022
Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
We propose the first reference-based video super-resolution (RefVSR) app...
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02/19/2022
MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
Most of traditional single image deblurring methods before deep learning...
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02/17/2022
Realistic Blur Synthesis for Learning Image Deblurring
Training learning-based deblurring methods demands a significant amount ...
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09/06/2021
CTRL-C: Camera calibration TRansformer with Line-Classification
Single image camera calibration is the task of estimating the camera par...
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08/31/2021
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
We propose a novel end-to-end learning-based approach for single image d...
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08/23/2021
Realistic Image Synthesis with Configurable 3D Scene Layouts
Recent conditional image synthesis approaches provide high-quality synth...
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08/23/2021
Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
For the success of video deblurring, it is essential to utilize informat...
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08/20/2021
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
This paper proposes a novel deep learning approach for single image defo...
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08/20/2021
GAN Inversion for Out-of-Range Images with Geometric Transformations
For successful semantic editing of real images, it is critical for a GAN...
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03/24/2021
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
In this paper, we present DRANet, a network architecture that disentangl...
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07/17/2020
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Despite the great advances in visual recognition, it has been witnessed ...
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04/10/2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
This paper presents a novel approach for learning instance segmentation ...
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02/08/2018
Completely Distributed Power Allocation using Deep Neural Network for Device to Device communication Underlaying LTE
Device to device (D2D) communication underlaying LTE can be used to dist...
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11/23/2016