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本文汇总了年CVPR底层视觉领域的源码源码一些论文，涉及超分辨率、全套图像恢复、视频视频去雨、解析解析去雾、源码源码tutk源码去模糊、全套去噪、视频视频图像恢复、解析解析图像增强、源码源码图像去摩尔纹、curses源码图像修复、图像质量评价、插帧、视频/图像压缩以及其他多任务等方向。以下是freeipa源码部分论文的简介： 1. 超分辨率相关：Unsupervised Degradation Representation Learning for Blind Super-Resolution
Data-Free Knowledge Distillation For Image Super-Resolution
AdderSR: Towards Energy Efficient Image Super-Resolution
Exploring Sparsity in Image Super-Resolution for Efficient Inference
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution
Learning Continuous Image Representation with Local Implicit Image Function
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Robust Reference-based Super-Resolution via C²-Matching
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
Flow-based Kernel Prior with Application to Blind Super-Resolution
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
2. 图像去雨相关：Removing Raindrops and Rain Streaks in One Go
From Rain Generation to Rain Removal
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
3. 图像去雾相关：Learning to Restore Hazy Video: A New Real-World Dataset and A New Method
ContrastiveLearning for Compact Single Image Dehazing
4. 去模糊相关：DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Explore Image Deblurring via Blur Kernel Space
5. 去噪相关：Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
Beyond Joint Demosaicking and Denoising
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
Invertible Denoising Network: A Light Solution for Real Noise Removal
6. 图像恢复相关：Multi-Stage Progressive Image Restoration
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models
Restoring Extremely Dark Images in Real Time
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
Progressive Semantic-Aware Style Transformation for Blind Face Restoration
Towards Real-World Blind Face Restoration with Generative Facial Prior
7. 图像增强相关：Auto-Exposure Fusion for Single-Image Shadow Removal
Learning Multi-Scale Photo Exposure Correction
Robust Reflection Removal with Reflection-free Flash-only Cues
Learning Temporal Consistency for Low Light Video Enhancement from Single Images
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
From Shadow Generation to Shadow Removal
8. 图像去摩尔纹相关：PD-GAN:Probabilistic Diverse GAN for Image Inpainting
Generating Diverse Structure for Image Inpainting with Hierarchical VQ-VAE
Image Inpainting with External-internal Learning and Monochromic Bottleneck
Progressive Temporal Feature Alignment Network for Video Inpainting
TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
9. 图像修复相关：Pre-Trained Image Processing Transformer
Invertible Image Signal Processing
以上论文涵盖了底层视觉领域的多个方向，旨在解决图像处理中的各种问题。如果您觉得本文内容有帮助，欢迎点赞和收藏，感谢您的支持！哪里有一级建造师免费网络视频教程？
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