"real-world degradations" Papers

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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution

Rui Xie, Yinhong Liu, Penghao Zhou et al.

ICCV 2025arXiv:2501.02976

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders

Qiming Hu, Linlong Fan, Yiyan Luo et al.

NEURIPS 2025arXiv:2506.04641

Towards Realistic Data Generation for Real-World Super-Resolution

Long Peng, Wenbo Li, Renjing Pei et al.

ICLR 2025arXiv:2406.07255

Unlocking the Potential of Diffusion Priors in Blind Face Restoration

Yunqi Miao, Zhiyu Qu, Mingqi Gao et al.

ICCV 2025arXiv:2508.08556

Confidence-Based Iterative Generation for Real-World Image Super-Resolution

Jialun Peng, Xin Luo, Jingjing Fu et al.

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution

Zhiheng Li, Muheng Li, Jixuan Fan et al.

ECCV 2024arXiv:2403.10925

RealViformer: Investigating Attention for Real-World Video Super-Resolution

Yuehan Zhang, Angela Yao

ECCV 2024arXiv:2407.13987