Fetching the paper…
Reading the bibliography…
Real-world Image Dehazing (RID) aims to alleviate haze-induced degradation in real-world settings.
Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
Earlier work this paper cites.
No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik · 2012
Earlier work this paper cites.
Half-quadratic-based iterative minimization for robust sparse representation
Ran He, Wei-Shi Zheng, Tieniu Tan, and Zhenan Sun · 2013
Earlier work this paper cites.
Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Dehazing using color-lines
Raanan Fattal · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
P Kingma Diederik · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Referenceless prediction of perceptual fog density and perceptual image defogging
Lark Kwon Choi, Jaehee You, and Alan Conrad Bovik · 2015
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Earlier work this paper cites.
Model adaptation with synthetic and real data for semantic dense foggy scene understanding
Christos Sakaridis, Dengxin Dai, Simon Hecker, and Luc Van Gool · 2018
Earlier work this paper cites.
Proximal dehaze-net: A prior learning-based deep network for single image dehazing
Dong Yang and Jian Sun · 2018
Earlier work this paper cites.
Nima: Neural image assessment
Hossein Talebi and Peyman Milanfar · 2018
Earlier work this paper cites.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
Earlier work this paper cites.
Griddehazenet: Attention-based multi-scale network for image dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi, and Jun Chen · 2019
Earlier work this paper cites.
Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Earlier work this paper cites.
Image threshold segmentation based on glle histogram
Xiaobo Wang, Lizhen Deng, and Guoxia Xu · 2019
Earlier work this paper cites.
Multi-scale boosted dehazing network with dense feature fusion
Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, and Ming-Hsuan Yang · 2020
Earlier work this paper cites.
Ffa-net: Feature fusion attention network for single image dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, and Huizhu Jia · 2020
Earlier work this paper cites.
Domain adaptation for image dehazing
Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, and Nong Sang · 2020
Earlier work this paper cites.
Deep unfolding network for image super-resolution
Kai Zhang, Luc Van Gool, and Radu Timofte · 2020
Earlier work this paper cites.
Advancing image understanding in poor visibility environments: A collective benchmark study
Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, et al · 2020
Earlier work this paper cites.
Unified density-aware image dehazing and object detection in real-world hazy scenes
Zhengxi Zhang, Liang Zhao, Yunan Liu, Shanshan Zhang, and Jian Yang · 2020
Earlier work this paper cites.
Resolution adaptive networks for efficient inference
Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, and Gao Huang · 2020
Earlier work this paper cites.
Psd: Principled synthetic-to-real dehazing guided by physical priors
Zeyuan Chen, Yangchao Wang, Yang Yang, and Dong Liu · 2021
Earlier work this paper cites.
Contrastive learning for compact single image dehazing
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma · 2021
Earlier work this paper cites.
Ista-net++: Flexible deep unfolding network for compressive sensing
Di You, Jingfen Xie, and Jian Zhang · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Musiq: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
Earlier work this paper cites.
Regularizing deep networks with semantic data augmentation
Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, and Cheng Wu · 2021
Earlier work this paper cites.
Condensenet v2: Sparse feature reactivation for deep networks
Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, and Qi Tian · 2021
Earlier work this paper cites.
Structure representation network and uncertainty feedback learning for dense non-uniform fog removal
Yeying Jin, Wending Yan, Wenhan Yang, and Robby T. Tan · 2022
Cited alongside, same era.
Deep generalized unfolding networks for image restoration
Chong Mou, Qian Wang, and Jian Zhang · 2022
Cited alongside, same era.
Image dehazing transformer with transmission-aware 3d position embedding
Chun-Le Guo, Qixin Yan, Saeed Anwar, Runmin Cong, Wenqi Ren, and Chongyi Li · 2022
Cited alongside, same era.
Perceiving and modeling density for image dehazing
Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, and Erkang Chen · 2022
Cited alongside, same era.
Unpaired deep image dehazing using contrastive disentanglement learning
Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, and Yufeng Li · 2022
Cited alongside, same era.
Self-augmented unpaired image dehazing via density and depth decomposition
Diffusion models in low-level vision: A survey
Chunming He, Yuqi Shen, Chengyu Fang, Fengyang Xiao, Longxiang Tang, Yulun Zhang, Wangmeng Zuo, Zhenhua Guo, and Xiu Li · 2024
Closest in time.
Lhnetv2: A balanced low-cost hybrid network for single image dehazing
Shenghai Yuan, Jijia Chen, Wenchao Jiang, Zhiming Zhao, and Song Guo · 2024
Closest in time.
Depth information assisted collaborative mutual promotion network for single image dehazing
Yafei Zhang, Shen Zhou, and Huafeng Li · 2024
Closest in time.
Frequency compensated diffusion model for real-scene dehazing
Jing Wang, Songtao Wu, Zhiqiang Yuan, Qiang Tong, and Kuanhong Xu · 2024
Closest in time.
A semi-supervised nighttime dehazing baseline with spatial-frequency aware and realistic brightness constraint, 2024
Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, and Hao Shen · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, and Dacheng Tao · 2022
Cited alongside, same era.
Physically disentangled intra-and inter-domain adaptation for varicolored haze removal
Yi Li, Yi Chang, Yan Gao, Changfeng Yu, and Luxin Yan · 2022
Cited alongside, same era.
Semi-uformer: Semi-supervised uncertainty-aware transformer for image dehazing, 2022
Ming Tong, Yongzhen Wang, Peng Cui, Xuefeng Yan, and Mingqiang Wei · 2022
Cited alongside, same era.
Ivf-net: An infrared and visible data fusion deep network for traffic object enhancement in intelligent transportation systems
Mingye Ju, Chunming He, and Juping Liu · 2022
Cited alongside, same era.
Ra-depth: Resolution adaptive self-supervised monocular depth estimation
Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, and Jian Yang · 2022
Cited alongside, same era.
IQA-PyTorch: Pytorch toolbox for image quality assessment
Chaofeng Chen and Jiadi Mo · 2022
Cited alongside, same era.
Multi-modal sequence learning for alzheimer’s disease progression prediction with incomplete variable-length longitudinal data
Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, and Lei Chen · 2022
Cited alongside, same era.
A unified framework for microscopy defocus deblur with multi-pyramid transformer and contrastive learning
Yuelin Zhang, Pengyu Zheng, Wanquan Yan, Chengyu Fang, and Shing Shin Cheng · 2024
Closest in time.
Follow your pose: Pose-guided text-to-video generation using pose-free videos
Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Siran Chen, Xiu Li, and Qifeng Chen · 2024
Closest in time.
Cove: Unleashing the diffusion feature correspondence for consistent video editing
Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, and Xiu Li · 2024
Closest in time.
Magictime: Time-lapse video generation models as metamorphic simulators
Shenghai Yuan, Jinfa Huang, Yujun Shi, Yongqi Xu, Ruijie Zhu, Bin Lin, Xinhua Cheng, Li Yuan, and Jiebo Luo · 2024
Closest in time.
Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation
Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, and Li Yuan · 2024
Closest in time.
Mambatalk: Efficient holistic gesture synthesis with selective state space models
Zunnan Xu, Yukang Lin, Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang, and Xiu Li · 2024
Closest in time.
Revisiting non-autoregressive transformers for efficient image synthesis
Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, and Gao Huang · 2024
Closest in time.
Adanat: Exploring adaptive policy for token-based image generation
Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, and Gao Huang · 2024
Closest in time.
Multibooth: Towards generating all your concepts in an image from text
Chenyang Zhu, Kai Li, Yue Ma, Chunming He, and Li Xiu · 2024
Closest in time.
Fine-grained recognition with learnable semantic data augmentation
Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, and Gao Huang · 2024
Closest in time.
Rank-detr for high quality object detection
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, and Gao Huang · 2024
Closest in time.
Gra: Detecting oriented objects through group-wise rotating and attention
Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, and Gao Huang · 2024
Closest in time.
Bridging the gap: A unified video comprehension framework for moment retrieval and highlight detection
Yicheng Xiao, Zhuoyan Luo, Yong Liu, Yue Ma, Hengwei Bian, Yatai Ji, Yujiu Yang, and Xiu Li · 2024
Closest in time.
Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping
Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, and Longxiang Tang · 2024
Closest in time.
Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, and Xiu Li · 2024
Closest in time.
Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects
Jian Hu, Jiayi Lin, Shaogang Gong, and Weitong Cai · 2024
Closest in time.
Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation
Jian Hu, Jiayi Lin, Junchi Yan, and Shaogang Gong · 2024
Closest in time.
A survey of camouflaged object detection and beyond
Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He, Longxiang Tang, Ziyun Yang, and Xiu Li · 2024
Closest in time.
Enhancing fine-grained multi-modal alignment via adapters: A parameter-efficient training framework for referring image segmentation
Zunnan Xu, Jiaqi Huang, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, and Xiu Li · 2024
Closest in time.
Motion-guided dual-camera tracker for endoscope tracking and motion analysis in a mechanical gastric simulator, 2024
Yuelin Zhang, Kim Yan, Chun Ping Lam, Chengyu Fang, Wenxuan Xie, Yufu Qiu, Raymond Shing-Yan Tang, and Shing Shin Cheng · 2024
Closest in time.
Longxiang Tang, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, and Jiaya Jia · 2024
Closest in time.
Grootvl: Tree topology is all you need in state space model
Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, and Ying Shan · 2024
Closest in time.
Understanding, predicting and better resolving q-value divergence in offline-rl
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, and Gao Huang · 2024
Closest in time.
Latency-aware unified dynamic networks for efficient image recognition
Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, and Gao Huang · 2024
Closest in time.
Agent attention: On the integration of softmax and linear attention
Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Shiji Song, and Gao Huang · 2024
Closest in time.
Bridging the divide: Reconsidering softmax and linear attention
Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, and Gao Huang · 2024
Closest in time.