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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/rozumden/ShapeFromBlur
공식 코드Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
https://github.com/rozumden/deblatting_python
공식 코드https://github.com/rozumden/fmo-deblurring-benchmark
공식 코드https://github.com/rozumden/motionfromblur
공식 코드Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos
https://github.com/rozumden/tbd
공식 코드https://github.com/samuro95/gspnp
공식 코드https://github.com/samuro95/prox-pnp
공식 코드Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
https://github.com/sanghviyashiitb/poisson-deblurring
공식 코드Photon Limited Non-Blind Deblurring Using Algorithm Unrolling
https://github.com/sangyun884/blur-diffusion
공식 코드Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
https://github.com/sczhou/LEDNet
공식 코드LEDNet: Joint Low-light Enhancement and Deblurring in the Dark
https://github.com/shangwei5/stgtn
공식 코드Aggregating Nearest Sharp Features via Hybrid Transformers for Video Deblurring
https://github.com/shangwei5/vidue
공식 코드Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
https://github.com/sharif-apu/darkdeblur
공식 코드DarkDeblur: Learning single-shot image deblurring in low-light condition
https://github.com/sjames40/ugodit
공식 코드UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
https://github.com/skokec/DAU-ConvNet
공식 코드Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
https://github.com/skokec/DAU-ConvNet-TF
공식 코드Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
https://github.com/skokec/DAU-ConvNet-caffe
공식 코드Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
https://github.com/sollynoay/mmp-rnn
공식 코드https://github.com/songheony/AAA-journal
공식 코드AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee
https://github.com/sony/gibbsddrm
공식 코드https://github.com/srinivas-512/pnp_nystra
공식 코드Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration Models
https://github.com/ssscrystal/reblurring-guided-jdrl
공식 코드https://github.com/stayalive16/wavedm
공식 코드WaveDM: Wavelet-Based Diffusion Models for Image Restoration
https://github.com/subeeshvasu/Awesome-Deblurring
공식 코드Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
https://github.com/sundeco/padis
공식 코드Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
https://github.com/sunshangquan/EnsIR
공식 코드EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
https://github.com/supersupercong/pptformer
공식 코드Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
https://github.com/supersupercong/uhdformer
공식 코드Correlation Matching Transformation Transformers for UHD Image Restoration
https://github.com/swz30/MPRNet
공식 코드https://github.com/swz30/mirnetv2
공식 코드Learning Enriched Features for Fast Image Restoration and Enhancement
https://github.com/swz30/restormer
공식 코드Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/teboli/CPCR
공식 코드End-to-end Interpretable Learning of Non-blind Image Deblurring
https://github.com/theophil-trippe/HDC_TUBerlin_version_1
공식 코드Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
https://github.com/thqiu0419/mlwnet
공식 코드Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
https://github.com/timseizinger/bokehlicious
공식 코드Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.