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

https://github.com/Vill-Lab/forkOfStyleShot

StyleShot: A Snapshot on Any Style

https://github.com/VinGPan/paper_implementations

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

https://github.com/VinceMarron/style_transfer

A Neural Algorithm of Artistic Style

https://github.com/VinitSR7/Image-Caption-Generation

Show and Tell: A Neural Image Caption Generator

https://github.com/Vinr1ch/cs390-lab2

A Neural Algorithm of Artistic Style

https://github.com/Vishal-V/GSoC

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

https://github.com/Vishal-V/GSoC-TensorFlow

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

https://github.com/Vishal-V/StackGAN

Generative Adversarial Text to Image Synthesis

https://github.com/Visual-Attention-Network/VAN-Jittor

Visual Attention Network

https://github.com/Visual-Attention-Network/VAN-Segmentation

Visual Attention Network

https://github.com/VyshnaviSK/Face2Mask-CycleGAN

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

https://github.com/WYGNG/CenterNet-Pro

Objects as Points

https://github.com/WYGNG/USTC_SSE_Project

Objects as Points

https://github.com/WalterJohnson0/tf-keras-implementation-of-Image-Style-transformation-network

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

https://github.com/WarrenGreen/srcnn

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Wastoon/XinTong_CenterNet

Objects as Points

https://github.com/Watson-BCA/HumanPostureRecognition

Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

https://github.com/Wavelet303/HAMR

End-to-end Hand Mesh Recovery from a Monocular RGB Image

https://github.com/WavesUR/embedded_TSM

Non-local Neural Networks

https://github.com/WeiYangze/hibernate-demo

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

https://github.com/Weifeng73/Zero-Shot-Super-resolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Wence-May/Image-Annotation

Show and Tell: A Neural Image Caption Generator

https://github.com/Wenchao-Du/LIR-for-Unsupervised-IR

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

https://github.com/WhiskyChoy/language-style-transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/Wiqzard/PViT-6D

PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens

https://github.com/XPixelGroup/BasicSR

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

https://github.com/XiSHEN0220/SegSwap

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

https://github.com/XiangGao1102/CTSS

Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization

https://github.com/XinArkh/VNect

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

https://github.com/Xingyu-Romantic/RMPose_PAF

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/XinzeWu/st-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/XiuyuLiu/Application-of-Deep-Learning-models-in-Single-Image-Super-Resolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Xylon-Sean/rfnet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

https://github.com/YCJGG/Muti-style-transfer-by-camera

Universal Style Transfer via Feature Transforms

https://github.com/YQRickWang/Motion_Prediction

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

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