https://github.com/gzhu-dvl/frrffusion
공식 코드FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal
Papers with Code 아카이브
Image Restoration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 13
- 평가표
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- 보존된 평가 기록
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Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hainuo-wang/modem
공식 코드MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
https://github.com/hamadichihaoui/BIRD
공식 코드https://github.com/hanzhouliu/deblurdinat
공식 코드DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
https://github.com/haohou-98/scgan
공식 코드Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
https://github.com/harbinzzy/all-in-one-image-restoration-survey
공식 코드A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
https://github.com/hashwang-null/irbridge
공식 코드IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
https://github.com/hejh8/cyclerdm
공식 코드https://github.com/hejingwenhejingwen/CResMD
공식 코드https://github.com/hiker-lw/realrain-1k
공식 코드Toward Real-world Single Image Deraining: A New Benchmark and Beyond
https://github.com/hjSim/KOALAnet
공식 코드KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment
https://github.com/hkzhang91/hinas
공식 코드Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
https://github.com/hnv-lab/cair
공식 코드CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter Removal
https://github.com/hollinsStuart/dark
공식 코드https://github.com/hou-guojia/udhtv
공식 코드Dual High-Order Total Variation Model for Underwater Image Restoration
https://github.com/house-leo/rwsr-edl
공식 코드Real-World Image Super-Resolution by Exclusionary Dual-Learning
https://github.com/house-yuyu/mdda-former
공식 코드Joint multi-dimensional dynamic attention and transformer for general image restoration
https://github.com/hplqaq/sam-deblur
공식 코드https://github.com/huang-shirui/semi-uir
공식 코드Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
https://github.com/huawei-noah/Pretrained-IPT
공식 코드Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
https://github.com/hulitaotom/Joint-Multi-Scale-Tone-Mapping-and-Denoising-for-HDR-Image-Enhancement
공식 코드Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
https://github.com/hust-tan/diffusionvi
공식 코드Diffusion Priors for Variational Likelihood Estimation and Image Denoising
https://github.com/i2-multimedia-lab/dsat
공식 코드Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution
https://github.com/ianyeung/mgld-vsr
공식 코드Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
https://github.com/ifryed/HyperRes
공식 코드https://github.com/igitugraz/weatherdiffusion
공식 코드Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
https://github.com/igor-morawski/raw-nod
공식 코드https://github.com/in1k1/ce-vae-underwater-image-enhancement
공식 코드CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
https://github.com/indicator0/bokehornot
공식 코드BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata Embedding
https://github.com/inria-thoth/ddm4ip
공식 코드Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
https://github.com/inria-thoth/t3sc
공식 코드A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
https://github.com/intmegroup/uniprocessor
공식 코드UniProcessor: A Text-induced Unified Low-level Image Processor
https://github.com/inzamamuldu/sadre
공식 코드Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal
https://github.com/iorism/CNN
공식 코드https://github.com/isee-laboratory/diffuir
공식 코드Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
https://github.com/j-fhu/udcunet
공식 코드UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.