low-level vision

Exploring the Potentials of Spiking Neural Networks for Image Deraining AAAI 2026 ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025 EAMamba: Efficient All-Around Vision State Space Model for Image Restoration ICCV 2025 One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion CVPR 2025 Boosting Image Restoration via Priors from Pre-trained Models CVPR 2024 CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation AAAI 2024 Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks CVPR 2024 Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models CVPR 2024 DegAE: A New Pretraining Paradigm for Low-Level Vision CVPR 2023 Networks are Slacking Off: Understanding Generalization Problem in Image Deraining NeurIPS 2023 On Efficient Transformer-Based Image Pre-training for Low-Level Vision IJCAI 2023 Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field NeurIPS 2023 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 LSM: Learning Subspace Minimization for Low-Level Vision CVPR 2020 Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy CVPR 2020 Learning Dual Convolutional Neural Networks for Low-Level Vision CVPR 2018 Perceptual Multistability as Markov Chain Monte Carlo Inference NeurIPS 2009 Natural Image Denoising with Convolutional Networks NeurIPS 2008