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/wrightgroupsri/cmrxrecon

공식 코드

Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models

https://github.com/wsx20003/cfg-rejection

공식 코드

Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering

https://github.com/wsxrhfg/dbf

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Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion

https://github.com/wtt2022/dataset

공식 코드

Weighted Graph Structure Learning with Attention Denoising for Node Classification

https://github.com/wtybest/enmmdit

공식 코드

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

https://github.com/wujiangxu/macd

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Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach

https://github.com/wuqi-coder/rnsd

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Realistic Noise Synthesis with Diffusion Models

https://github.com/wuqianliang/diff-reg

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Diff-Reg v1: Diffusion Matching Model for Registration Problem

https://github.com/wustl-cig/RARE

공식 코드

RARE: Image Reconstruction using Deep Priors Learned without Ground Truth

https://github.com/wustl-cig/bcred

공식 코드

Block Coordinate Regularization by Denoising

https://github.com/wustl-cig/pnp-recovery

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Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition

https://github.com/wutao-cs/customcrafter

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CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities

https://github.com/wuyang98/weathergen

공식 코드

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion

https://github.com/wwwtttjjj/mpnn

공식 코드

Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning

https://github.com/wwy155/nsdiff

공식 코드

Non-stationary Diffusion For Probabilistic Time Series Forecasting

https://github.com/wyf0912/ExposureDiffusion

공식 코드

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

https://github.com/wyhuai/ddnm

공식 코드

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

https://github.com/wyxstriker/MakeSomeNoiseInference

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Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training

https://github.com/wzekai99/dm-improves-at

공식 코드

Better Diffusion Models Further Improve Adversarial Training

https://github.com/x1xu/diffusion-plug-and-play

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Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

https://github.com/xchhuang/bndm

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Blue noise for diffusion models

https://github.com/xhu248/cond_ddpm_wsss

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Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

https://github.com/xianggkl/otlrm

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OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems

https://github.com/xiangli2022/cm-tts

공식 코드

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models

https://github.com/xiaocui3737/geomclip

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GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules

https://github.com/xiaogang00/dp3df

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Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution

https://github.com/xiaohulugo/t-ro2024-dali

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DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising

https://github.com/xiaojiao929/fgc2f-udiff

공식 코드

FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis

https://github.com/xiaomi-mlab/mila.github.io

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MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

https://github.com/xiaomingaaa/biokdn

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Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction

https://github.com/xiaomingaaa/sdn

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S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion

https://github.com/xiaomoguhz/ov-dquo

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OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision

https://github.com/xiaowu0162/low-resource-kpgen

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Representation Learning for Resource-Constrained Keyphrase Generation

https://github.com/xie-lab-ml/zigzag-diffusion-sampling

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Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection

https://github.com/xiexinheng/node-imgnet

공식 코드

NODE-ImgNet: a PDE-informed effective and robust model for image denoising

https://github.com/xinario/SAGAN

공식 코드

Sharpness-aware Low dose CT denoising using conditional generative adversarial network

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