https://github.com/srinivas-512/pnp_nystra
공식 코드Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration Models
Papers with Code 아카이브
Denoising
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 6
- 보존된 평가 기록
- 15
Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.
<span style="color:grey; opacity: 0.6">( Image credit: Beyond a Gaussian Denoiser )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sssohrab/PhDthesis
공식 코드Learning to compress and search visual data in large-scale systems
https://github.com/sstzal/DiffTalk
공식 코드DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
https://github.com/stanfordmimi/ddm2
공식 코드DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
https://github.com/stanifrolov/spotdiffusion
공식 코드SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time
https://github.com/stanliu96/RATD
공식 코드Retrieval-Augmented Diffusion Models for Time Series Forecasting
https://github.com/statho/scorehmr
공식 코드https://github.com/stayalive16/wavedm
공식 코드WaveDM: Wavelet-Based Diffusion Models for Image Restoration
https://github.com/stegmaierj/diffusionmodelsforimagesynthesis
공식 코드https://github.com/stephen0808/dnlut
공식 코드DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
https://github.com/steventan0110/diffnorm
공식 코드DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
https://github.com/stevenzhang904/masked_pretrain
공식 코드https://github.com/sthowling/alioth
공식 코드https://github.com/stotko/incomplete-gamma-kernels
공식 코드Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
https://github.com/subramanyamdvss/UnsupNTS
공식 코드https://github.com/suhaisheng/difsd
공식 코드https://github.com/suhas-srinath/undive
공식 코드UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors
https://github.com/suhyeok24/ft-cadis
공식 코드Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
https://github.com/sulam-group/k-rcps
공식 코드How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
https://github.com/summitgao/hcanet
공식 코드Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
https://github.com/summitgao/mafnet
공식 코드Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
https://github.com/sunghakang/weakident
공식 코드WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming
https://github.com/sunke123/FW-Net
공식 코드Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
https://github.com/sunsunyyl/SWAE
공식 코드https://github.com/sunwookimiub/BLSH
공식 코드Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation
https://github.com/sunyoungIT/UDCA-Net
공식 코드https://github.com/sunyumark/PnP-MonteCarlo
공식 코드Provable Probabilistic Imaging using Score-Based Generative Priors
https://github.com/superca729/pl-ufg
공식 코드Generalized Laplacian Regularized Framelet Graph Neural Networks
https://github.com/superz678/mg-had
공식 코드https://github.com/surkovv/sdxl-unbox
공식 코드Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders
https://github.com/swag-kaust/storseismic
공식 코드StorSeismic: A new paradigm in deep learning for seismic processing
https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.