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코드

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

https://github.com/nageshpindi/human-motion-prediction-master

On human motion prediction using recurrent neural networks

https://github.com/nahliabdelwahed/Face-Image-Deblurring

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

https://github.com/nail-hnu/esvio_aa

Event-based Stereo Visual Odometry

https://github.com/nail-hnu/esvo2

Event-based Stereo Visual Odometry

https://github.com/nalbert9/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/namanphy/style-transfer-through-back-translate

Style Transfer Through Back-Translation

https://github.com/namedBen/Convolutional-Pose-Machines-Pytorch

Convolutional Pose Machines

https://github.com/nannau/DoWnGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/nannullna/safe-diffusion

Erasing Concepts from Diffusion Models

https://github.com/nanzhaogang/contrib/tree/master/application/weakly-supervised-mesh-convolutional-hand-reconstruction-in-the-wild

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

https://github.com/naoto0804/pytorch-AdaIN

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/naotokui/CreativeGAN-Rhythm

Can GAN originate new electronic dance music genres? -- Generating novel rhythm patterns using GAN with Genre Ambiguity Loss

https://github.com/naotokui/RhythmVAE_M4L

Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin

https://github.com/napulen/MiniBach

Deep Learning Techniques for Music Generation -- A Survey

https://github.com/narock/machine_learning

Neural Ordinary Differential Equations

https://github.com/natepuppy/HCN-pytorch

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

https://github.com/natuan310/scale-recurrent-network-images-deblurring

Scale-recurrent Network for Deep Image Deblurring

https://github.com/naver/debit

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon

https://github.com/naver/dope

DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild

https://github.com/naver/mast3r

DUSt3R: Geometric 3D Vision Made Easy

https://github.com/naviocean/CenterNet

Objects as Points

https://github.com/necrashter/SaShiMi-796

It's Raw! Audio Generation with State-Space Models

https://github.com/neerav47/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/neeyoo/Neuralnetwork_project_art_transfer

A Neural Algorithm of Artistic Style

https://github.com/neherh/HyperStackNet

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/nemonameless/UniDiffuser_Paddle

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

https://github.com/neonbjb/tortoise-tts

Zero-Shot Text-to-Image Generation

https://github.com/nerminsamet/houghnet-vid

HoughNet: Integrating near and long-range evidence for visual detection

https://github.com/nhannguyencsd/vision_cyclegan

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

https://github.com/nhatanh81096/Pneumonia-Detector

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

https://github.com/nhatsmrt/torch-styletransfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/niazwazir/REAL_TIME_VIDEO_IMSR

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/nickgkan/3d_diffuser_actor

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

https://github.com/nicksunday/deepfake-music-detector

FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models

https://github.com/nicolafan/image-captioning-cnn-rnn

Show and Tell: A Neural Image Caption Generator

https://github.com/nicolai256/stable-textual-inversion_win

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

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