Search Results for author: Long Peng

Found 21 papers, 6 papers with code

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

no code implementations27 Jan 2025 Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha

To address these issues, we propose a novel texture-aware image restoration method, TAMambaIR, which simultaneously perceives image textures and achieves a trade-off between performance and efficiency.

4k 8k +6

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

no code implementations16 Nov 2024 Long Peng, Wenbo Li, Jiaming Guo, Xin Di, Haoze Sun, Yong Li, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha

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

Demosaicking Denoising +1

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

no code implementations16 Nov 2024 Peizhe Xia, Long Peng, Xin Di, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha

To overcome these limitations, we propose a novel arbitrary-scale super-resolution method, called $\text{S}^{3}$Mamba, to construct a scalable continuous representation space.

Mamba Super-Resolution

Multi-Scale Representation Learning for Image Restoration with State-Space Model

no code implementations19 Aug 2024 Yuhong He, Long Peng, Qiaosi Yi, Chen Wu, Lu Wang

Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision systems.

Denoising Image Restoration +3

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

no code implementations16 Aug 2024 Xin Di, Long Peng, Peizhe Xia, Wenbo Li, Renjing Pei, Yang Cao, Yang Wang, Zheng-Jun Zha

Moreover, AdaUp is designed to dynamically adjust the upsampling kernel based on the spatial distribution of multi-frame sub-pixel information in the different burst scenes, thereby facilitating the reconstruction of the spatial arrangement of high-resolution details.

Burst Image Super-Resolution Mamba

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

no code implementations2 Jul 2024 Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu

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

Computational Efficiency Denoising +1

DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution

1 code implementation24 Jun 2024 Aiwen Jiang, Zhi Wei, Long Peng, Feiqiang Liu, Wenbo Li, Mingwen Wang

Specifically, on one hand, image-restoration prompt alignment decoder is proposed to automatically discern the degradation degree of LR images, thereby generating beneficial degradation priors for image restoration.

Image Restoration Image Super-Resolution +3

Towards Realistic Data Generation for Real-World Super-Resolution

no code implementations11 Jun 2024 Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Jiaqi Xu, Yang Wang, Yang Cao, Zheng-Jun Zha

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 practical scenarios.

Image Super-Resolution

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

1 code implementation11 May 2024 Long Peng, Yang Cao, Renjing Pei, Wenbo Li, Jiaming Guo, Xueyang Fu, Yang Wang, Zheng-Jun Zha

These convolutions are integrated in parallel with a novel linear weighting mechanism to form an Adaptive Directional Gradient Convolution (DGConv), which adaptively weights and fuses the basic directional gradients to improve the gradient arrangement perception capability for both regular and irregular textures.

Image Super-Resolution

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

3 code implementations16 Apr 2024 Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.

Image Super-Resolution

Lightweight Adaptive Feature De-drifting for Compressed Image Classification

no code implementations3 Jan 2024 Long Peng, Yang Cao, Yuejin Sun, Yang Wang

However, it is not an ideal choice to use these JPEG artifact removal methods as a pre-processing for compressed image classification for the following reasons: 1.

Classification Image Classification +1

Textual Prompt Guided Image Restoration

1 code implementation11 Dec 2023 Qiuhai Yan, Aiwen Jiang, Kang Chen, Long Peng, Qiaosi Yi, Chunjie Zhang

In this paper, an effective textual prompt guided image restoration model has been proposed.

Denoising Image Restoration +1

Latent Degradation Representation Constraint for Single Image Deraining

1 code implementation9 Sep 2023 Yuhong He, Long Peng, Lu Wang, Jun Cheng

Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining.

Decoder Representation Learning +1

Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction

no code implementations9 Mar 2023 Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Yu

Recently, many studies incorporate external knowledge into character-level feature based models to improve the performance of Chinese relation extraction.

Relation Relation Extraction

Decoupling-and-Aggregating for Image Exposure Correction

no code implementations CVPR 2023 Yang Wang, Long Peng, Liang Li, Yang Cao, Zheng-Jun Zha

To this end, we inject the addition/difference operation into the convolution process and devise a Contrast Aware (CA) unit and a Detail Aware (DA) unit to facilitate the statistical and structural regularities modeling.

Exposure Correction

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