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코드

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

https://github.com/DmitryUlyanov/fast-neural-doodle

A Neural Algorithm of Artistic Style

https://github.com/Dong1P/MTRNN

Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training

https://github.com/DrChainsaw/neuralODE4j

Neural Ordinary Differential Equations

https://github.com/DreamTechAI/Direct3D

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

https://github.com/DreamTechAI/Direct3D-S2

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

https://github.com/Droliven/pymaf_reimplementation

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

https://github.com/DwightFoster/Pytorch-TecoGan

Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

https://github.com/Dylan-get/Deep-Feature-Consistent-VAE

Deep Feature Consistent Variational Autoencoder

https://github.com/EAST-J/Youtubehand

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

https://github.com/ECE740F21T01/pytorch-pose-hg-3d

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

https://github.com/EMI-Group/TransferLearning-Tasks

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

https://github.com/EMalagoli92/VAN-Classification-TensorFlow

Visual Attention Network

https://github.com/EXJUSTICE/Cross-Domain_Classification_Using_StyleTransfer

Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation

https://github.com/EagleW/Writing-editing-Network

Paper Abstract Writing through Editing Mechanism

https://github.com/Easonyesheng/A2PM-MESA

Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching

https://github.com/EdoardoBotta/Gaussian-Mixture-VAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/Edresson/ZS-TTS-Evaluation

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

https://github.com/ElectricAlexis/NotaGen

NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

https://github.com/EliPassov/classification-ensembles

Data Distillation: Towards Omni-Supervised Learning

https://github.com/ElliotY-ML/Pneumonia_Detection_ChestX

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/EmGarr/kerod

Mask R-CNN

https://github.com/EmergingUnicorns/DeepPaint

DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling

https://github.com/Emilija2000/PSIML6_Voice_style_transfer

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

https://github.com/Emir-Liu/Cycle-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/EmptySamurai/pytorch-reconet

ReCoNet: Real-time Coherent Video Style Transfer Network

https://github.com/EnchanterXiao/video-style-transfer

Arbitrary Style Transfer with Style-Attentional Networks

https://github.com/Engineering-Course/LIP_JPPNet

Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

https://github.com/Engineering-Course/LIP_SSL

Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

https://github.com/Epsilon456/Face_LandMark_Recognition

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/ErikFaustmann/styletransfer

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/ErikGDev/instance-segmentation

Mask R-CNN

https://github.com/EugenHotaj/pytorch-generative/blob/master/notebooks/style_transfer.ipynb

A Neural Algorithm of Artistic Style

https://github.com/EvgenyKashin/SRMnet

SRM : A Style-based Recalibration Module for Convolutional Neural Networks

https://github.com/Eyyub/tensorflow-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/FIT4003StackGAN/FIT4003-StackGAN-v2-Metamorphic-Testing

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux

Taming Transformers for High-Resolution Image Synthesis

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