Papers with Code 아카이브

Denoising

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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/wangzy22/xmask3d

공식 코드

XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation

https://github.com/warvito/generative_monai

공식 코드

Generative AI for Medical Imaging: extending the MONAI Framework

https://github.com/wasiahmad/PLBART

공식 코드

Unified Pre-training for Program Understanding and Generation

https://github.com/wbasener/DeepLearningAtmosphericCompensation

공식 코드

Deep Learning of Radiative Atmospheric Transfer with an Autoencoder

https://github.com/wdayang/ctformer

공식 코드

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

https://github.com/wdika/atommic

공식 코드

Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction

https://github.com/weakrules/Denoise-multi-weak-sources

공식 코드

Denoising Multi-Source Weak Supervision for Neural Text Classification

https://github.com/weigerzan/projdiff

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Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems

https://github.com/weilunwang/semantic-diffusion-model

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Semantic Image Synthesis via Diffusion Models

https://github.com/weilunwang/sindiffusion

공식 코드

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

https://github.com/weimengting/magicface

공식 코드

MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Control

https://github.com/weimengting/magicportrait

공식 코드

MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance

https://github.com/weizhepei/instructrag

공식 코드

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

https://github.com/wencongwu/tsp-rdanet

공식 코드

Two-stage Progressive Residual Dense Attention Network for Image Denoising

https://github.com/wengong-jin/dsmbind

공식 코드

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation

https://github.com/wenhaomin/DiffSTG

공식 코드

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

https://github.com/wenruxue/detta

공식 코드

From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation

https://github.com/wentxul/linr

공식 코드

Revisiting Implicit Neural Representations in Low-Level Vision

https://github.com/wenwenmin/mbVDiT

공식 코드

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis

https://github.com/wenwenmin/stmgac

공식 코드

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data

https://github.com/wgcban/ddpm-cd

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DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection

https://github.com/whisney/dosediff

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DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

https://github.com/whu-zqh/e2s2

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E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation

https://github.com/williamro/eeg-denoise

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DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse

https://github.com/wjko2/NMT-Adapt

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Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data

https://github.com/wjn1996/PCNN_RL_HME

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RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational Searching

https://github.com/wl-zhao/VPD

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Unleashing Text-to-Image Diffusion Models for Visual Perception

https://github.com/wl-zhao/unipc

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UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

https://github.com/wlydlut/c2f-dft

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Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration

https://github.com/wngh1187/exu-net

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Extended U-Net for Speaker Verification in Noisy Environments

https://github.com/woldier/EEGDiR

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EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network

https://github.com/woldier/witunet

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WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion

https://github.com/woodwindhu/gsda

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Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks

https://github.com/wooseoklee4/ap-bsn

공식 코드

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

https://github.com/workingcoder/EDCNN

공식 코드

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

https://github.com/wqlevi/disgan

공식 코드

DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.