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image restoration

1515 papers

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Also known as

LPIR IR

Co-occurring keywords

diffusion model (3720) convolutional neural network (4216) neural network (6616) image denoising (372) image deblurring (190) image super-resolution (302) image processing (297) self-supervised learning (3751) generative adversarial network (1939) attention mechanism (3975)

Papers

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension CVPR 2024
Masked Pre-training Enables Universal Zero-shot Denoiser NIPS 2024
Omni-Kernel Network for Image Restoration AAAI 2024
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration AAAI 2024
Color Shift Estimation-and-Correction for Image Enhancement CVPR 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space NIPS 2024
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment CVPR 2024
Single Image Reflection Separation via Dual-Stream Interactive Transformers NIPS 2024
Rethinking Multi-Scale Representations in Deep Deraining Transformer AAAI 2024
Perceptual Fairness in Image Restoration NIPS 2024
Binarized Diffusion Model for Image Super-Resolution NIPS 2024
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation AAAI 2024
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution AAAI 2024
Diffusion-based Blind Text Image Super-Resolution CVPR 2024
APISR: Anime Production Inspired Real-World Anime Super-Resolution CVPR 2024
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration CVPR 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring CVPR 2024
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction AAAI 2024
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model AAAI 2024
Make Lossy Compression Meaningful for Low-Light Images AAAI 2024
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems NIPS 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NIPS 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024