Papers with Code 아카이브
Denoising
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/lucidrains/make-a-video-pytorch
https://github.com/lucidrains/recurrent-interface-network-pytorch
https://github.com/lucidrains/uformer-pytorch
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/lucidrains/voicebox-pytorch
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
https://github.com/lvyufeng/denoising-diffusion-mindspore
https://github.com/lyqcom/brdnet
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
https://github.com/lyqcom/mbart_mindspore
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
https://github.com/lyqcom/rednet30
https://github.com/lzhengchun/deep-image-prior-tensorflow
https://github.com/lzhmeng/lca
https://github.com/m2ci-msp/mri-shape-framework
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
https://github.com/m2ci-msp/mri-shape-tools
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
https://github.com/ma-lab-berkeley/crate
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
https://github.com/maanvithag/thinkai
https://github.com/majedelhelou/fc-diffusion
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
https://github.com/majidAdibian77/ResGrad
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
https://github.com/malbergo/stochastic-interpolants
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
https://github.com/manhnguyen1998/co_separation_encoder_decoder
https://github.com/manyids2/kornia
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/maomaocun/dllm-cache
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
https://github.com/marinadominguez/diffusion-for-us-images
https://github.com/maum-ai/wavegrad2
https://github.com/maxjcohen/diffusion-bridges
https://github.com/mayuelala/followyourpose
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/mcao610/Factual-Error-Correction
https://github.com/mcleonard/NLG_Autoencoder
Unsupervised Natural Language Generation with Denoising Autoencoders
https://github.com/mdipcit/GTCNN
Gated Texture CNN for Efficient and Configurable Image Denoising
https://github.com/mechatoz/convolt
Convolutional Dictionary Learning: Acceleration and Convergence
https://github.com/megengine/nbnet
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
https://github.com/megvii-research/tlsc
https://github.com/meitalB/NN
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/melobron/Noisier2Noise
https://github.com/mengxiangming/qcs-sgm
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
https://github.com/mengyuanchen21/cvpr2023-cmpae
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
https://github.com/merria28/NTIRE_GRDN
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.