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09/08/2023
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
Modern displays are capable of rendering video content with high dynamic...
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08/29/2023
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
We present DiffBIR, which leverages pretrained text-to-image diffusion m...
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07/27/2023
GET3D–: Learning GET3D from Unconstrained Image Collections
The demand for efficient 3D model generation techniques has grown expone...
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02/28/2023
TextIR: A Simple Framework for Text-based Editable Image Restoration
Most existing image restoration methods use neural networks to learn str...
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11/10/2022
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Existing correspondence datasets for two-dimensional (2D) cartoon suffer...
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11/10/2022
Column Generation for Optimization Problems in Communication Networks
Numerous communication networks are emerging to serve the various demand...
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10/12/2022
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
The attention mechanism plays a pivotal role in designing advanced super...
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07/16/2022
A Survey on Collaborative DNN Inference for Edge Intelligence
With the vigorous development of artificial intelligence (AI), the intel...
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05/26/2022
Wireless Deep Video Semantic Transmission
In this paper, we design a new class of high-efficiency deep joint sourc...
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05/13/2022
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
Although generative facial prior and geometric prior have recently demon...
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05/09/2022
Activating More Pixels in Image Super-Resolution Transformer
Transformer-based methods have shown impressive performance in low-level...
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05/06/2022
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
Most of the existing video face super-resolution (VFSR) methods are trai...
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12/22/2021
Reflash Dropout in Image Super-Resolution
Dropout is designed to relieve the overfitting problem in high-level vis...
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10/09/2021
Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
Video colorization is a challenging and highly ill-posed problem. Althou...
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07/22/2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Though many attempts have been made in blind super-resolution to restore...
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07/07/2021
Blind Image Super-Resolution: A Survey and Beyond
Blind image super-resolution (SR), aiming to super-resolve low-resolutio...
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04/15/2021
Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Unmanned aerial vehicles (UAVs), or say drones, are envisioned to suppor...
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04/13/2021
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
Photo retouching aims at improving the aesthetic visual quality of image...
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10/02/2020
Efficient Image Super-Resolution Using Pixel Attention
This work aims at designing a lightweight convolutional neural network f...
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05/07/2019
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
Demosaicing, denoising and super-resolution (SR) are of practical import...
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04/23/2019
Path-Restore: Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
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09/01/2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...
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08/01/2016
Accelerating the Super-Resolution Convolutional Neural Network
As a successful deep model applied in image super-resolution (SR), the S...
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06/07/2015
Boosting Optical Character Recognition: A Super-Resolution Approach
Text image super-resolution is a challenging yet open research problem i...
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12/31/2014
