https://github.com/Talented-Q/Restorer
공식 코드Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance
Papers with Code 아카이브
Blind Image Deblurring
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Blind Image Deblurring is a classical problem in image processing and computer vision, which aims to recover a latent image from a blurred input.
Source: Learning a Discriminative Prior for Blind Image Deblurring
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TimRoith/BregmanLearning
공식 코드https://github.com/Tombs98/ALGNet
공식 코드Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
https://github.com/Tombs98/CAPTNet
공식 코드Prompt-based Ingredient-Oriented All-in-One Image Restoration
https://github.com/Tombs98/M3SNet
공식 코드A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
https://github.com/Vibhu04/Deblurring-Variational-Autoencoders-with-STFT
공식 코드Short-Time Fourier Transform for deblurring Variational Autoencoders
https://github.com/VinAIResearch/blur-kernel-space-exploring
공식 코드https://github.com/Vinayak-VG/GAURA
공식 코드GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
https://github.com/WU-CVGL/BAD-Gaussians
공식 코드https://github.com/WU-CVGL/BAD-NeRF
공식 코드https://github.com/WeishengDong/DPDNN_PyTorch
공식 코드Denoising Prior Driven Deep Neural Network for Image Restoration
https://github.com/XLearning-SCU/2025-CVPR-MaIR
공식 코드MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
https://github.com/York-SDCNLab/Ghost-DeblurGAN
공식 코드https://github.com/ZhendongWang6/Uformer
공식 코드Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/ahupujr/ntire2025_eventdeblur_challenge
공식 코드NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
https://github.com/ahupujr/refid
공식 코드A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild
https://github.com/aimerykong/predictive-filter-flow
공식 코드https://github.com/algolzw/image-restoration-sde
공식 코드Image Restoration with Mean-Reverting Stochastic Differential Equations
https://github.com/alikaraali/svbr_net_icip
공식 코드SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network
https://github.com/anastasiia-kornilova/MMDF
공식 코드https://github.com/annegnx/PnP-Flow
공식 코드PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
https://github.com/anshulbshah/Blurred-Image-to-Video
공식 코드https://github.com/arghyasinha/tsp-kernel-denoiser
공식 코드Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers
https://github.com/aurangau/ICIP2024
공식 코드https://github.com/auto-dog/moac_deep
공식 코드Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser Network
https://github.com/axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors
공식 코드Blind Image Deconvolution using Pretrained Generative Priors
https://github.com/bahjat-kawar/ddrm
공식 코드https://github.com/bahjat-kawar/snips_torch
공식 코드https://github.com/benhenryl/sharpnerf
공식 코드Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
https://github.com/bestrivenzc/CZ-Net
공식 코드CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving
https://github.com/bilocq/trust-the-critics-2
공식 코드https://github.com/bilocq/wgan-gp-benchmark
공식 코드https://github.com/bnm6900030/swintormer
공식 코드Efficient Image Deblurring Networks based on Diffusion Models
https://github.com/bob831009/raw_image_deblurring
공식 코드https://github.com/c-yn/adair
공식 코드AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
https://github.com/caiziruo/nf-ula
공식 코드NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.