https://github.com/tencentarc/mm-realsr
공식 코드MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution
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/theoad/dot-dmax
공식 코드Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
https://github.com/tirer-lab/cm4ir
공식 코드Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
https://github.com/tirer-lab/ddpg
공식 코드Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
https://github.com/tombs98/ecfnet
공식 코드Emphasizing Crucial Features for Efficient Image Restoration
https://github.com/tombs98/lcdnet
공식 코드Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate Features
https://github.com/tombs98/mhnet
공식 코드https://github.com/tomorrowi6/SGEN-pytorch
공식 코드Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration
https://github.com/tomtirer/IDBP
공식 코드Image Restoration by Iterative Denoising and Backward Projections
https://github.com/toummHus/HAIR
공식 코드https://github.com/toummhus/chain-of-restoration
공식 코드https://github.com/tranleanh/dpte-net
공식 코드Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing
https://github.com/tsingqguo/misf
공식 코드MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
https://github.com/tub-rip/event_based_image_rec_inverse_problem
공식 코드https://github.com/tum-vision/learn_prox_ops
공식 코드Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
https://github.com/txphome/dfpir
공식 코드Degradation-Aware Feature Perturbation for All-in-One Image Restoration
https://github.com/tyshiwo/MemNet
공식 코드https://github.com/uam-biometrics/faceqgen
공식 코드FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
https://github.com/um-dsrg/Super-Resolution-Meta-Attention-Networks
공식 코드Improving Super-Resolution Performance using Meta-Attention Layers
https://github.com/um-dsrg/rumpy
공식 코드https://github.com/unidb-soc/unidb
공식 코드UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
https://github.com/utcsilab/ambient-diffusion-mri
공식 코드https://github.com/va1shn9v/promptir
공식 코드https://github.com/varun19299/deep-atrous-guided-filter
공식 코드Deep Atrous Guided Filter for Image Restoration in Under Display Cameras
https://github.com/vcl3d/cmudrn
공식 코드Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing
https://github.com/vibe007/Dequantization_Diffusion_Models
공식 코드https://github.com/visinf/n3net
공식 코드https://github.com/vita-epfl/code
공식 코드https://github.com/vita-group/chasing-better-dips
공식 코드Chasing Better Deep Image Priors between Over- and Under-parameterization
https://github.com/vita-group/pirn
공식 코드Physics-Driven Turbulence Image Restoration with Stochastic Refinement
https://github.com/vita-group/turbnet
공식 코드https://github.com/volflow/DeFlow
공식 코드DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
https://github.com/vpronina/DeepWienerRestoration
공식 코드Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
https://github.com/wangya22/I3SB
공식 코드Implicit Image-to-Image Schrodinger Bridge for Image Restoration
https://github.com/wangyanckxx/Single-Underwater-Image-Enhancement-and-Color-Restoration
공식 코드https://github.com/weigerzan/projdiff
공식 코드Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.