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3D Architecture

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

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

공식 코드

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

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

공식 코드

Extended U-Net for Speaker Verification in Noisy Environments

https://github.com/woldier/EEGDiR

공식 코드

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

https://github.com/woldier/witunet

공식 코드

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

https://github.com/wrightgroupsri/cmrxrecon

공식 코드

Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models

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

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

https://github.com/wsxrhfg/dbf

공식 코드

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion

https://github.com/wtt2022/dataset

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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

공식 코드

Realistic Noise Synthesis with Diffusion Models

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

공식 코드

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

공식 코드

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

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

공식 코드

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

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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

공식 코드

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

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

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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

공식 코드

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

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