| 编号 | 论文简称 | 标题 | 会议 | 笔记链接 |
|---|---|---|---|---|
| 0 | 笔记模板 | 笔记模板 | 梦想A会 | 笔记模板 |
| 1 | GrabCut | "GrabCut" — Interactive Foreground Extraction using Iterated Graph Cuts | SIGGRAPH | GrabCut |
| 2 | EDSR | Enhanced Deep Residual Networks for Single Image Super-Resolution | CVPR | EDSR |
| 3 | Transformer | Attention is all you need | NeurIPS | Transformer |
| 4 | Vision Transformer | AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE | ICLR | Vision Transformer |
| 5 | DDPM | Denoising Diffusion Probabilistic Models | NeurIPS | DDPM |
| 6 | CLIP | Learning Transferable Visual Models From Natural Language Supervision | ICML | CLIP |
| 7 | Depth Pro | SHARP MONOCULAR METRIC DEPTH IN LESS THAN A SECOND | ICLR | Depth Pro |
| 8 | AIMv2 | Multimodal Autoregressive Pre-training of Large Vision Encoders | CVPR2025 | AIMv2 |
| 9 | DiffUIR | Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model | CVPR2024 | DiffUIR |
| 10 | OSEDiff | One-Step Effective Diffusion Network for Real-World Image Super-Resolution | NeurIPS2024 | OSEDiff |
| 11 | S3Diff | Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors | CVPR2025 | S3Diff |
| 12 | MoCE-IR | Complexity Experts are Task-Discriminative Learners for Any Image Restoration | CVPR2025 | MoCE-IR |
| 13 | RestorMixer | An efficient and mixed heterogeneous model for image restoration | ArXiv | RestorMixer |
| 14 | MoPE | MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion | ArXiv | MoPE |
| 15 | GIFNet | One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion | CVPR2025 | GIFNet |
| 16 | DT4AIOUIR | Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspective | Arxiv | DT4AIOUIR |
| 17 | DEnet | INTERPRETABLE UNSUPERVISED JOINT DENOISING AND ENHANCEMENT FOR REAL-WORLD LOW-LIGHT SCENARIOS | ICLR 2025 | DEnet |
| 18 | PFT-SR | Progressive Focused Transformer for Single Image Super-Resolution | CVPR 2025 | PFT-SR |
| 19 | TEAFormer | Enhancing Image Restoration Transformer via Adaptive Translation Equivariance | ICCV 2025 | TEAFormer |
| 20 | Converse2D | Reverse Convolution and Its Applications to Image Restoration | ICCV 2025 | Converse2D |
| 21 | HINT | Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration | ICCV 2025 | HINT |
| 22 | LLIE_Survey | Low-Light Image and Video Enhancement Using Deep Learning: A Survey | TPAMI 2021 | LLIE_Survey |
| 23 | CLIP_LIT | Low-Light Image and Video Enhancement Using Deep Learning: A Survey | ICCV 2023 | CLIP_LIT |
最后更新时间:2025-10-10 20:10:58
