https://github.com/Text-to-Audio/AudioLCM
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
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/Thehunk1206/Image-Restorers
https://github.com/TristansCloud/YellowstonesVegitiation
An End-to-End Compression Framework Based on Convolutional Neural Networks
https://github.com/UKPLab/useb
https://github.com/Vandermode/ELD
Physics-based Noise Modeling for Extreme Low-light Photography
https://github.com/W4ngatang/qags
https://github.com/WangChen0902/SID-Paddle
https://github.com/WangChen0902/noise2noise-paddle
https://github.com/Wenchao-Du/Neighbor2Neighbor_Pytorch
https://github.com/WilliamYu1993/DAEME/tree/master/images
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
https://github.com/XMUDM/DA-MRS
https://github.com/XPixelGroup/BasicSR
https://github.com/XYZ387/QuaternionCNN_Keras
https://github.com/XiangGao1102/PTDiffusion
https://github.com/XianguiKang/AdvAD
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
https://github.com/Xtina94/DictLearningCluster
https://github.com/XwK-P/ID-CNN
https://github.com/YHL04/ddpm
https://github.com/YangangCao/TRU-Net
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
https://github.com/YashNita/Co-Separating-Sound-Object-
https://github.com/Yotsuyubi/wave-nr-gan
https://github.com/YuzheZhang-1999/DiffTSR
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
https://github.com/Z-ypnos/SSDiff_main
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
https://github.com/ZBWpro/CSE-SFP
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
https://github.com/ZZL-1998/MW-ISPNet
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
https://github.com/Zakobian/CT_framework_
https://github.com/ZezhouCheng/GP-DIP
https://github.com/ZhengJun-AI/MoirePhotoRestoration-MCNN
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
https://github.com/Zhengqi-Wu/Unrolled-optimization-with-deep-priors
https://github.com/ZhenyuTan/Noise2Noise-Cryo-EM-image-denoising
https://github.com/aaronmckinstry706/toward-robust-dnn
Towards Deep Neural Network Architectures Robust to Adversarial Examples
https://github.com/abbasi-ali/noise2self
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/acasamitjana/jump
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
https://github.com/acids-ircam/diffusion_models
https://github.com/adam-mah/Medical-Image-Denoising
Medical image denoising using convolutional denoising autoencoders
https://github.com/adam-mehdi/MuarAugment
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.