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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/AniketP04/Credit-Card-Fraud-Detection

Credit Card Fraud Detection Using Autoencoder Neural Network

https://github.com/Aoi-hosizora/FFDNet_pytorch

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

https://github.com/AryaKoureshi/Magnocellular-Parvocellular-Coactivation-Task-in-MATLAB

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

https://github.com/Ashwin-Pokharel/base_diffusion

Denoising Diffusion Probabilistic Models

https://github.com/Audio-WestlakeU/FullSubNet/blob/main/audio_zen/acoustics/rvb.py

Speech Dereverberation with a Reverberation Time Shortening Target

https://github.com/AureliePeng/Keras-WaveletTransform

Multi-level Wavelet Convolutional Neural Networks

https://github.com/BH94/cGANs-tensorflow-Python

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

https://github.com/Baymax-chen/EMVD

Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion

https://github.com/BjoernNieth/LS-Dataset-pruning-in-AT

Better Diffusion Models Further Improve Adversarial Training

https://github.com/BlackPepperAPI/Cadene.pytorch

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

https://github.com/BrianPulfer/PapersReimplementations

Denoising Diffusion Probabilistic Models

https://github.com/Build-Week-Spotify-Song-Suggester-5/Data-Science

Neural Nearest Neighbors Networks

https://github.com/CLEANit/SRS2021

Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning

https://github.com/COMP6248-Reproducability-Challenge/selfsupervised-denoising

Noise2Noise: Learning Image Restoration without Clean Data

https://github.com/CW-Huang/sdeflow-light

Denoising Diffusion Probabilistic Models

https://github.com/ChungHanYang/Image-retoration-based-on-SRresnet

Noise2Noise: Learning Image Restoration without Clean Data

https://github.com/Coldog2333/pytoflow

Video Enhancement with Task-Oriented Flow

https://github.com/CompVis/image2video-synthesis-using-cINNs

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

https://github.com/CorentinBT/Decoder

Learning to compress and search visual data in large-scale systems

https://github.com/CroitoruAlin/Diffusion-Models-in-Vision-A-Survey

Diffusion Models in Vision: A Survey

https://github.com/DDCM-2025/ddcm-compressed-image-generation

Compressed Image Generation with Denoising Diffusion Codebook Models

https://github.com/DataScienceNigeria/SummAE-from-Google-Brain-and-MIT-CSAIL

SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders

https://github.com/Design-and-Simulation/CACTI-Simulation

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

https://github.com/DiT-3D/DiT-3D

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

https://github.com/DivJAth/DeepLearning5922

Residual Dense Network for Image Super-Resolution

https://github.com/DmitryUlyanov/deep-image-prior

Deep Image Prior

https://github.com/Dongshengjiang/Denoising-of-3D-magnetic-resonance-images-with-multi-channel-residual-CNN

Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network

https://github.com/EDAPINENUT/GNTPP

Exploring Generative Neural Temporal Point Process

https://github.com/EmoryMLIP/DynamicBlocks

Deep Neural Networks Motivated by Partial Differential Equations

https://github.com/Ending2015a/toy_gradlogp

Deep Energy Estimator Networks

https://github.com/EntropicEffect/dendritic_backprop

Dendritic error backpropagation in deep cortical microcircuits

https://github.com/FinnBehrendt/Mahalanobis-Unsupervised-Anomaly-Detection

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs

https://github.com/Francis-Rings/MotionEditor

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/Garoe/tf_mvg

Structured Uncertainty Prediction Networks

https://github.com/GarrickZ2/Image-Denoising

CycleISP: Real Image Restoration via Improved Data Synthesis

https://github.com/GaryMataev/DeepRED

DeepRED: Deep Image Prior Powered by RED

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