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/weizequan/tashr
공식 코드https://github.com/wenjuan7275/matir
공식 코드https://github.com/wentxul/linr
공식 코드Revisiting Implicit Neural Representations in Low-Level Vision
https://github.com/wenyang001/two-acir
공식 코드https://github.com/wlydlut/c2f-dft
공식 코드Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
https://github.com/wlydlut/uhd-image-restoration-survey
공식 코드Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey
https://github.com/wlydlut/uhddip
공식 코드Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution
https://github.com/wookyounghan/jdec
공식 코드JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
https://github.com/wsj890411/Polar_HR
공식 코드https://github.com/wuyang1002431655/cdcn
공식 코드https://github.com/wxy11-27/gmsr
공식 코드GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images
https://github.com/wyf0912/flare-removal
공식 코드https://github.com/wyhuai/ddnm
공식 코드Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/wzhshi/MSSRNet
공식 코드https://github.com/xahidbuffon/funie-gan
공식 코드Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/xhuachris/tanet-accv-2024
공식 코드TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration
https://github.com/xiangtaokong/mioir
공식 코드Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
https://github.com/xiangyu8/mofa
공식 코드MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices
https://github.com/xiaofeng-life/icdehazing
공식 코드Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
https://github.com/xiaojihh/cl_all-in-one
공식 코드Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
https://github.com/xinntao/Real-ESRGAN
공식 코드Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/xl-tang3/DA-RCOT
공식 코드Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
https://github.com/xl-tang3/RCOT
공식 코드https://github.com/xl-tang3/baryir
공식 코드https://github.com/xpixelgroup/diffbir
공식 코드DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
https://github.com/xpixelgroup/hat
공식 코드https://github.com/xuxy09/RawSR
공식 코드https://github.com/xuyimin0926/u-wadn
공식 코드Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration
https://github.com/xy-boy/blind-satellite-vsr
공식 코드https://github.com/xyfjason/hcl
공식 코드Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
https://github.com/xylgroup/mlmc
공식 코드Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
https://github.com/xyliu339/freqformer
공식 코드Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition
https://github.com/xyvirtualgroup/adaptivepnp_sci
공식 코드Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging
https://github.com/yairomer/ppde
공식 코드Uncertainty Visualization via Low-Dimensional Posterior Projections
https://github.com/yandex-research/navigan
공식 코드Navigating the GAN Parameter Space for Semantic Image Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.