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most citedBrightness Perceiving for Recursive Low-Light Image Enhancement

23 citations · 28 across the 20 of their papers we have counts for

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11 papers · 1 filter

cs.CV2024

Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration

Haoze Sun, Wenbo Li, Jiayue Liu +7

Generalization has long been a central challenge in real-world image restoration. While recent diffusion-based restoration methods, which leverage generative priors from text-to-im…

eess.IV2024

Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

Long Peng, Wenbo Li, Jiaming Guo +7

Real-world image super-resolution (Real SR) aims to generate high-fidelity, detail-rich high-resolution (HR) images from low-resolution (LR) counterparts. Existing Real SR methods…

cs.CV2024

Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Peizhe Xia, Long Peng, Xin Di +4

Arbitrary scale super-resolution (ASSR) aims to super-resolve low-resolution images to high-resolution images at any scale using a single model, addressing the limitations of tradi…

cs.CV2024

QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Xin Di, Long Peng, Peizhe Xia +5

Burst super-resolution aims to reconstruct high-resolution images with higher quality and richer details by fusing the sub-pixel information from multiple burst low-resolution fram…

cs.CV2024

UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

Jingjing Ren, Wenbo Li, Haoyu Chen +6

Ultra-high-resolution image generation poses great challenges, such as increased semantic planning complexity and detail synthesis difficulties, alongside substantial training reso…

cs.CV2024

FC3DNet: A Fully Connected Encoder-Decoder for Efficient Demoir'eing

Zhibo Du, Long Peng, Yang Wang +2

Moiré patterns are commonly seen when taking photos of screens. Camera devices usually have limited hardware performance but take high-resolution photos. However, users are sensiti…

cs.CV2024

Towards Realistic Data Generation for Real-World Super-Resolution

Long Peng, Wenbo Li, Renjing Pei +5

Existing image super-resolution (SR) techniques often fail to generalize effectively in complex real-world settings due to the significant divergence between training data and prac…

eess.IV2024

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Long Peng, Yang Cao, Renjing Pei +5

Real-SR endeavors to produce high-resolution images with rich details while mitigating the impact of multiple degradation factors. Although existing methods have achieved impressiv…

cs.CV2024★ 2 cited

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

Marcos V. Conde, Zhijun Lei, Wen Li +72

This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

cs.CV2024★ 2 cited

Lightweight Adaptive Feature De-drifting for Compressed Image Classification

Long Peng, Yang Cao, Yuejin Sun +1

JPEG is a widely used compression scheme to efficiently reduce the volume of transmitted images. The artifacts appear among blocks due to the information loss, which not only affec…