Advances in Image Manipulation Workshop
ReBaIR: Reference-Based Image Restoration-
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[supp]
[bibtex]@InProceedings{Bernasconi_2025_ICCV, author = {Bernasconi, Michael and Djelouah, Abdelaziz and Zhang, Yang and Gross, Markus and Schroers, Christopher}, title = {ReBaIR: Reference-Based Image Restoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5489-5498} }
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?-
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[arXiv]
[bibtex]@InProceedings{Kochnev_2025_ICCV, author = {Kochnev, Roman and Goodarzi, Arash Torabi and Bentyn, Zofia Antonina and Ignatov, Dmitry and Timofte, Radu}, title = {Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5664-5674} }
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report-
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[arXiv]
[bibtex]@InProceedings{Dumitriu_2025_ICCV, author = {Dumitriu, Andrei and Miron, Florin and Tatui, Florin and Ionescu, Radu and Timofte, Radu and Ralhan, Aakash and Vasluianu, Florin-Alexandru and Qian, Shenyang and Harley, Mitchell and Razzak, Imran and Song, Yang and Luo, Pu and Li, Yumei and Xu, Cong and Chai, Jinming and Zhang, Kexin and Jiao, Licheng and Li, Lingling and Yu, Siqi and Zhang, Chao and Song, Kehuan and Liu, Fang and Chen, Puhua and Liu, Xu and Hu, Jin and Xu, Jinyang and Liu, Biao}, title = {AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5551-5560} }
AIM 2025 Challenge on Screen-Content Video Quality Assessment: Methods and Results-
[pdf]
[bibtex]@InProceedings{Safonov_2025_ICCV, author = {Safonov, Nickolay and Rakhmanov, Mikhail and Vatolin, Dmitriy and Timofte, Radu and Wu, Chunyu and Wu, Kejing and Patro, Kishor and Rathour, Pankaj and Channappayya, Sumohana and Pardhi, Pravin and Kamble, Vipin and Bhurchandi, Kishor and Liu, Biao and Hu, Jin and Xu, Jinyang and Dayu, Yang and Yihua, Chen}, title = {AIM 2025 Challenge on Screen-Content Video Quality Assessment: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5655-5663} }
Practical Manipulation Model for Robust Deepfake Detection-
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[supp]
[arXiv]
[bibtex]@InProceedings{Hopf_2025_ICCV, author = {Hopf, Benedikt and Timofte, Radu}, title = {Practical Manipulation Model for Robust Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5675-5684} }
Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmark-
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[bibtex]@InProceedings{Longarela_2025_ICCV, author = {Longarela, Bruno and Conde, Marcos V and Garc{\'\i}a, \'Alvaro and Timofte, Radu}, title = {Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5699-5712} }
LMLT : Low-to-high Multi-Level Vision Transformer for Lightweight Image Super-Resolution-
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[supp]
[bibtex]@InProceedings{Kim_2025_ICCV, author = {Kim, Jeongsoo and Nang, Jongho and Choe, Junsuk}, title = {LMLT : Low-to-high Multi-Level Vision Transformer for Lightweight Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5509-5519} }
AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results-
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[bibtex]@InProceedings{Karetin_2025_ICCV, author = {Karetin, Nikolai and Molodetskikh, Ivan and Vatolin, Dmitry and Timofte, Radu and Yang, Yixin and Chen, Junyang and Dong, Jiangxin and Pan, Jinshan and Liu, Zhihao and Qu, Lishen and Zhou, Shihao and Yang, Jufeng and Jiang, Yuxuan and Teng, Siyue and Zeng, Chengxi and Zhang, Fan and Bull, David and Tang, Qi and Liu, Jie and Tang, Jie and Wu, Gangshan}, title = {AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5615-5623} }
Boosting Inverse Tone Mapping via Diffusion Regularization-
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[bibtex]@InProceedings{Lu_2025_ICCV, author = {Lu, Xin and Peng, Yufeng and Ge, Chengjie and Sun, Zhijing and Zhou, Ziang and Liao, Zishun and Li, Zihao and Li, Dong and Kang, Qiyu and Fu, Xueyang and Zha, Zheng-Jun}, title = {Boosting Inverse Tone Mapping via Diffusion Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5595-5604} }
AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results-
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[supp]
[arXiv]
[bibtex]@InProceedings{Ciubotariu_2025_ICCV, author = {Ciubotariu, George and Vasluianu, Florin-Alexandru and Zhou, Zhuyun and Mehta, Nancy and Timofte, Radu and Wu, Ke and Sun, Long and Kong, Lingshun and Yang, Zhongbao and Pan, Jinshan and Dong, Jiangxin and Tang, Jinhui and Chen, Hao and Fang, Yinghui and Zhang, Dafeng and Song, Yongqi and Guo, Jiangbo and Jin, Shuhua and Xiao, Zeyu and Zhao, Rui and Li, Zhuoyuan and Zhang, Cong and Peng, Yufeng and Lu, Xin and Sun, Zhijing and Ge, Chengjie and Li, Zihao and Liao, Zishun and Zhou, Ziang and Kang, Qiyu and Fu, Xueyang and Zha, Zheng-Jun and Zhang, Yuqian and Liu, Shuai and Liu, Jie and Zhang, Zhuhao and Qu, Lishen and Liu, Zhihao and Zhou, Shihao and Luo, Yaqi and Zhou, Juncheng and Yang, Jufeng and Yang, Qianfeng and Guan, Qiyuan and Chen, Xiang and Jin, Guiyue and Jin, Jiyu}, title = {AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5541-5550} }
DIFFRACT: Diffusion-based Restoration via Adaptive Control and Thresholding for Diffraction Imaging-
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[supp]
[arXiv]
[bibtex]@InProceedings{Falaleev_2025_ICCV, author = {Falaleev, Nikolay and Orlov, Nikolai}, title = {DIFFRACT: Diffusion-based Restoration via Adaptive Control and Thresholding for Diffraction Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5520-5529} }
MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation-
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[supp]
[bibtex]@InProceedings{Caetano_2025_ICCV, author = {Caetano, Francisco and Viviers, Christiaan and De With, Peter H.N. and van der Sommen, Fons}, title = {MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5499-5508} }
Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Report-
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[bibtex]@InProceedings{Feijoo_2025_ICCV, author = {Feijoo, Daniel and Garrido, Paula and Conde, Marcos V. and Rim, Jaesung and Garcia, Alvaro and Cho, Sunghyun and Timofte, Radu}, title = {Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Report}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5713-5721} }
RCENet : Recursive Concatenation and Enhancement Network for Real-Time Super-Resolution-
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[bibtex]@InProceedings{Yoon_2025_ICCV, author = {Yoon, Kihwan and Gankhuyag, Ganzorig and Jeong, Jinwoo}, title = {RCENet : Recursive Concatenation and Enhancement Network for Real-Time Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5605-5614} }
LiteRT-Optimized INT8 LLM for Raspberry Pi4 Deployment-
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[supp]
[bibtex]@InProceedings{Yoon_2025_ICCV, author = {Yoon, Kihwan and Moon, Hyeon-Cheol and Kim, Aeri and Kim, Sungjei and Lee, Sang-Seol and Jang, Sung-Joon and Gankhuyag, Ganzorig and Jeong, Jinwoo}, title = {LiteRT-Optimized INT8 LLM for Raspberry Pi4 Deployment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5624-5633} }
AIM 2025 Challenge on Real-World RAW Image Denoising-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2025_ICCV, author = {Li, Feiran and Li, Jiacheng and Conde, Marcos V. and Besbinar, Beril and Hosu, Vlad and Iso, Daisuke and Timofte, Radu}, title = {AIM 2025 Challenge on Real-World RAW Image Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5685-5698} }
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection-
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[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2025_ICCV, author = {Xu, Lei and Yamac, Mehmet and Ahishali, Mete and Gabbouj, Moncef}, title = {Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5634-5643} }
Efficient High FPS Non-Uniform Motion Deblurring via Progressive Learning-
[pdf]
[bibtex]@InProceedings{Lu_2025_ICCV, author = {Lu, Xin and Sun, Zhijing and Ge, Chengjie and Peng, Yufeng and Zhou, Ziang and Li, Zihao and Liao, Zishun and Li, Dong and Kang, Qiyu and Fu, Xueyang and Zha, Zheng-Jun}, title = {Efficient High FPS Non-Uniform Motion Deblurring via Progressive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5585-5594} }
Diffusion-based Compression Quality Tradeoffs without Retraining-
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[supp]
[bibtex]@InProceedings{Brenig_2025_ICCV, author = {Brenig, Jonas and Timofte, Radu}, title = {Diffusion-based Compression Quality Tradeoffs without Retraining}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5561-5570} }
JFFRA : Joint Flow And Feature Refinement Using Attention For Video Restoration-
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[supp]
[bibtex]@InProceedings{Merugu_2025_ICCV, author = {Merugu, Ranjith and Suhail, Mohammed Sameer and Sarashetti, Akshay P and Reddem, Venkata Bharath Reddy and Bajpai, Pankaj Kumar and Unde, Amit Satish}, title = {JFFRA : Joint Flow And Feature Refinement Using Attention For Video Restoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5530-5540} }
AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2025_ICCV, author = {Wang, Chao and Banterle, Francesco and Ren, Bin and Timofte, Radu and Lu, Xin and Peng, Yufeng and Ge, Chengjie and Sun, Zhijing and Zhou, Ziang and Li, Zihao and Liao, Zishun and Kang, Qiyu and Fu, Xueyang and Zha, Zheng-Jun and Sun, Zhijing and Wang, Xingbo and Liu, Kean and Xu, Senyan and Qiu, Yang and Ding, Yifan and Eilertsen, Gabriel and Unger, Jonas and Wang, Zihao and Wu, Ke and Pan, Jinshan and Liu, Zhen and Li, Zhongyang and Liu, Shuaicheng and Uddin, S. M. Nadim Uddin}, title = {AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5571-5584} }
DMS: Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2025_ICCV, author = {Liu, Zihua and Li, Yizhou and Zhang, Songyan and Okutomi, Masatoshi}, title = {DMS: Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5477-5488} }
AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results-
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[supp]
[arXiv]
[bibtex]@InProceedings{Yakovenko_2025_ICCV, author = {Yakovenko, Alexander and Chakvetadze, George and Khrapov, Ilya and Zhelezov, Maksim and Vatolin, Dmitry and Timofte, Radu and Oh, Youngjin and Kwon, Junhyeong and Park, Junyoung and Cho, Nam Ik and Xu, Senyan and Jiang, Ruixuan and Peng, Long and Fu, Xueyang and Zha, Zheng-Jun and Peng, Xiaoping and Feng, Hansen and Tie, Zhanyi and Xia, Ziming and Wang, Lizhi}, title = {AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5644-5654} }