https://github.com/zeqiang-lai/dphsir
공식 코드Deep Plug-and-Play Prior for Hyperspectral Image Restoration
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/zeqiang-lai/hsdt
공식 코드https://github.com/zeqiang-lai/man
공식 코드https://github.com/zerono000/neurop-diff
공식 코드NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
https://github.com/zeyuwang-zju/diffx
공식 코드https://github.com/zf223669/DiffMotion.github.io
공식 코드DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
https://github.com/zfan20/graphda
공식 코드Graph Collaborative Signals Denoising and Augmentation for Recommendation
https://github.com/zfu006/tap
공식 코드Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
https://github.com/zgbkdlm/fbs
공식 코드Conditioning diffusion models by explicit forward-backward bridging
https://github.com/zgj77/fsacdm
공식 코드https://github.com/zh460045050/v2l-tokenizer
공식 코드Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
https://github.com/zhang-lingyun/ConceptReplacer
공식 코드Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
https://github.com/zhang-tao-whu/DVIS
공식 코드1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation
https://github.com/zhang-tao-whu/DVIS_Plus
공식 코드DVIS++: Improved Decoupled Framework for Universal Video Segmentation
https://github.com/zhangbingliang2019/DAPS
공식 코드Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
https://github.com/zhanglijun95/ZoDiac
공식 코드https://github.com/zhangye-zoe/bass
공식 코드Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
https://github.com/zhangyezhuo/mamca
공식 코드https://github.com/zhangyi-3/idr
공식 코드IDR: Self-Supervised Image Denoising via Iterative Data Refinement
https://github.com/zhangyi-3/kbnet
공식 코드https://github.com/zhangyi-3/noise-synthesis
공식 코드https://github.com/zhangyushan3/diffsf
공식 코드https://github.com/zhanhaoliu09/auto_tv_denoise
공식 코드https://github.com/zhaodongsun/pnp_dip
공식 코드Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting
https://github.com/zhaohaoyu376/wi-ld2nd
공식 코드WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
https://github.com/zhaomingkong/gcp-id
공식 코드https://github.com/zhaowenzhao/mcg_cnn
공식 코드https://github.com/zhaoyanglyu/early_stopped_ddpm
공식 코드Accelerating Diffusion Models via Early Stop of the Diffusion Process
https://github.com/zhaoyanglyu/point_diffusion_refinement
공식 코드A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
https://github.com/zhaoyuzhi/Legacy-Photo-Editing-with-Learned-Noise-Prior
공식 코드https://github.com/zhaoyuzhi/d2hnet
공식 코드D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
https://github.com/zhaoyuzhi/qrnet
공식 코드Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
https://github.com/zhaozixiang1228/mmif-ddfm
공식 코드DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
https://github.com/zhawe01/fairseq-gec
공식 코드https://github.com/zhd96/zig
공식 코드A zero-inflated gamma model for deconvolved calcium imaging traces
https://github.com/zhejiangzhuque/diffusion-based-graph-generative-methods
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.