Video Enhancement

38 papers with code • 1 benchmarks • 4 datasets

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Latest papers with no code

A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement

no code yet • 4 Mar 2024

Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks.

Learning Exposure Correction in Dynamic Scenes

no code yet • 27 Feb 2024

While image exposure correction is a popular topic, the video counterpart is less explored in the literature.

BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement

no code yet • 3 Feb 2024

Low-light videos often exhibit spatiotemporal incoherent noise, leading to poor visibility and compromised performance across various computer vision applications.

A Survey on Super Resolution for video Enhancement Using GAN

no code yet • 27 Dec 2023

This compilation of various research paper highlights provides a comprehensive overview of recent developments in super-resolution image and video using deep learning algorithms such as Generative Adversarial Networks.

Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance

no code yet • 26 Dec 2023

First, a depth-aware feature extraction module is designed to inject depth priors into the image representation.

EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset

no code yet • 13 Dec 2023

Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed.

Real-Time Neural Video Recovery and Enhancement on Mobile Devices

no code yet • 22 Jul 2023

Although deep learning-based video enhancement techniques are gaining attention, most of them cannot support real-time enhancement on mobile devices.

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

no code yet • 19 Jul 2023

61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.

VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision

no code yet • 19 Jun 2023

Such compact representations need to be decoded back to pixels before being displayed to humans and - as usual - before being enhanced/analyzed by machine vision algorithms.

SB-VQA: A Stack-Based Video Quality Assessment Framework for Video Enhancement

no code yet • 15 May 2023

To address this issue, we propose a stack-based framework for VQA that outperforms existing state-of-the-art methods on VDPVE, a dataset consisting of enhanced videos.