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보존된 평가 기록

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코드

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

https://github.com/Fangyh09/pose_nms

RMPE: Regional Multi-person Pose Estimation

https://github.com/FateScript/CenterNet-better

Objects as Points

https://github.com/FeliMe/multimodal_style_transfer

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

https://github.com/Feynman1999/MgeEditing

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

https://github.com/Feynman1999/basicVSR_mge

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

https://github.com/Fickle519/stockforecastingmodelbasedon_XGboost

XGBoost: A Scalable Tree Boosting System

https://github.com/FirstPotatoMan/TensorflowJS_ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/FiveEyes/CycleGAN

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

https://github.com/Fivefold/SRCNN

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/FlyingRoastDuck/PGPPM

Leveraging Virtual and Real Person for Unsupervised Person Re-identification

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

High-Resolution Image Synthesis with Latent Diffusion Models

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

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/FraunhoferChalmersCentre/mcmc_corr_score_diffusion

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

https://github.com/Fuhui-Chen/TecoGAN

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

https://github.com/FulminisH/Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/FurkanGozukara/SpeechSplitTest

Unsupervised Speech Decomposition via Triple Information Bottleneck

https://github.com/GANtastic3/MaskCycleGAN-VC

MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames

https://github.com/GAOwy123/py-faster-rcnn

Mask R-CNN

https://github.com/GBATZOLIS/Wespe-Keras

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

https://github.com/GH3927/CycleGAN-applied-to-cranes

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

https://github.com/GH3927/Mask-RCNN-applied-to-cranes

Mask R-CNN

https://github.com/GH3927/Pix2Pix-applied-to-cranes

Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation

https://github.com/GSNCodes/Neural_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/Garfield35/Doodle

A Neural Algorithm of Artistic Style

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

Restormer: Efficient Transformer for High-Resolution Image Restoration

https://github.com/Gaurav927/Neural_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/Gedeon-m-gedus/compressed_object_detection

Compressed Object Detection

https://github.com/George-Ogden/Mask-RCNN

Mask R-CNN

https://github.com/GeyuanZhang/st-gcn-master

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/GiadaSimionato/Analysis_and_Comparison_of_Deep_Learning_Methods_for_Jazz_Music_Generation

Deep Learning for Music

https://github.com/Gie-ok-Hie-ut/pytorch-stylegan2-distillation

StyleGAN2 Distillation for Feed-forward Image Manipulation

https://github.com/GilbertoQ/Bioinformatics

Protein-Ligand Scoring with Convolutional Neural Networks

https://github.com/Gintasp/xgan

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

https://github.com/Git-Uzair/Piano-Genre-Transfer-CycleGan

Symbolic Music Genre Transfer with CycleGAN

https://github.com/GitHubXlong/TecoGAN

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

https://github.com/GitTeaching/Predicting-using-Neural-ODE

Neural Ordinary Differential Equations

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