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

https://github.com/haoningwu3639/MegaFusion

공식 코드

MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

https://github.com/haoqinhong/ccspnet-joint

공식 코드

CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions

https://github.com/haoxiangsnr/spiking-fullsubnet

공식 코드

Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet

https://github.com/haoyuc/maskeddenoising

공식 코드

Masked Image Training for Generalizable Deep Image Denoising

https://github.com/happycaoyue/PT-MWRN

공식 코드

Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising

https://github.com/happycaoyue/Pseudo-ISP

공식 코드

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

https://github.com/happyhongt/Acceleration-of-RED-via-Vector-Extrapolation

공식 코드

Acceleration of RED via Vector Extrapolation

https://github.com/happyhongt/Solving-RED-with-Weighted-Proximal-Methods----WPM-Solver

공식 코드

Solving RED with Weighted Proximal Methods

https://github.com/harryjo97/riemannian-diffusion-mixture

공식 코드

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

https://github.com/harsh19/SPINE

공식 코드

SPINE: SParse Interpretable Neural Embeddings

https://github.com/hasined/giffcf

공식 코드

Graph Signal Diffusion Model for Collaborative Filtering

https://github.com/hay-001/modnet

공식 코드

MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches

https://github.com/hayeong0/DDDM-VC

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DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion

https://github.com/hectorcarrion/fedd

공식 코드

FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification

https://github.com/hehedaozuiteng/chinese-story-generation

공식 코드

Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics

https://github.com/hejh8/cyclerdm

공식 코드

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model

https://github.com/hellloxiaotian/ctnet

공식 코드

A cross Transformer for image denoising

https://github.com/hellloxiaotian/hwformer

공식 코드

Heterogeneous window transformer for image denoising

https://github.com/hellloxiaotian/mwdcnn

공식 코드

Multi-stage image denoising with the wavelet transform

https://github.com/helloworld1973/DNA-DA

공식 코드

Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning

https://github.com/hellozicky/ppad

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Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion

https://github.com/helmholtz-ai-energy/hyde

공식 코드

HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package

https://github.com/henghuiding/SVC

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Semantic Correlation Promoted Shape-Variant Context for Segmentation

https://github.com/henrycilence/broker-modality-crowd-counting

공식 코드

Multi-modal Crowd Counting via a Broker Modality

https://github.com/henrysky/stars_foundation_diffusion

공식 코드

Estimating Probability Densities with Transformer and Denoising Diffusion

https://github.com/henryxrl/Listening-to-Sound-of-Silence-for-Speech-Denoising

공식 코드

Listening to Sounds of Silence for Speech Denoising

https://github.com/hexin5515/cgsorec

공식 코드

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias

https://github.com/hguimaraes/robustdistiller

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An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning

https://github.com/hhhhhhao/continuous_tokenizer

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SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer

https://github.com/hhy-huang/graphjudge

공식 코드

Can LLMs be Good Graph Judge for Knowledge Graph Construction?

https://github.com/hito1979/outputnoise

공식 코드

Enhanced precision of circadian rhythm by output system

https://github.com/hitz-zentroa/meg-phone-decoding

공식 코드

Decoding Phone Pairs from MEG Signals Across Speech Modalities

https://github.com/hitzhangyu/V2-Self-supervised-Image-Enhancement-Network-Training-With-Low-Light-Images-Only

공식 코드

Self-supervised Low Light Image Enhancement and Denoising

https://github.com/hjx159/hiphop

공식 코드

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation

https://github.com/hku-medai/mult-ehr

공식 코드

Multi-task Heterogeneous Graph Learning on Electronic Health Records

https://github.com/hkuds/adagcl

공식 코드

Adaptive Graph Contrastive Learning for Recommendation

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