https://github.com/shallowdream204/lora-ir
공식 코드LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
Papers with Code 아카이브
Image Restoration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 13
- 평가표
- 3
- 보존된 평가 기록
- 17
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/sharif-apu/BJDD_CVPR21
공식 코드Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor
https://github.com/shashankskagnihotri/adv-corrected-ddcat-cospgd
공식 코드CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
https://github.com/shashankskagnihotri/cospgd
공식 코드CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
https://github.com/shawndong98/rdluf_mixs2
공식 코드https://github.com/shermanlian/kbnet
공식 코드https://github.com/shermanlian/spatial-entropy-loss
공식 코드Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
https://github.com/sherryzhou97/rdfnet
공식 코드RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
https://github.com/shouno/PoissonNoiseReduction
공식 코드https://github.com/shuaizhengliu/instructrestore
공식 코드InstructRestore: Region-Customized Image Restoration with Human Instructions
https://github.com/siywang541/Varformer
공식 코드Varformer: Adapting VAR's Generative Prior for Image Restoration
https://github.com/sjames40/SITCOM
공식 코드SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems
https://github.com/sjmoran/CURL
공식 코드https://github.com/smehdia/NTIRE2021-IQA-MACS
공식 코드https://github.com/sp-uhh/driftrec
공식 코드DriftRec: Adapting diffusion models to blind JPEG restoration
https://github.com/srxdev0619/Latent_Convolutional_Models
공식 코드https://github.com/stayalive16/wavedm
공식 코드WaveDM: Wavelet-Based Diffusion Models for Image Restoration
https://github.com/summerparadise-0922/mpgnet
공식 코드Modular Degradation Simulation and Restoration for Under-Display Camera
https://github.com/sunshangquan/EnsIR
공식 코드EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
https://github.com/sunshangquan/Histoformer
공식 코드Restoring Images in Adverse Weather Conditions via Histogram Transformer
https://github.com/super-SSS/DCKD
공식 코드Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
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/swing-research/conditional-trumpets
공식 코드https://github.com/swz30/CycleISP
공식 코드CycleISP: Real Image Restoration via Improved Data Synthesis
https://github.com/swz30/MIRNet
공식 코드Learning Enriched Features for Real Image Restoration and Enhancement
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/sxpro/rfsr
공식 코드RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
https://github.com/taco-group/mwformer
공식 코드MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
https://github.com/tami-uib/jssunet
공식 코드Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution
https://github.com/taowangzj/awesome-face-restoration
공식 코드A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal
https://github.com/taowangzj/gridformer
공식 코드https://github.com/tehret/mosaic-to-mosaic
공식 코드Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
https://github.com/tencent-ailab/frequency_aug_vae_moesr
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.