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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/AlphaGergedan/Sampling-HNNs

Neural Ordinary Differential Equations

https://github.com/AlphaKong/CycleGAN

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

https://github.com/Amritha16/ImageResolutionEnhancement

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Anchoret13/blenderset

BlenderProc

https://github.com/AndreiMoraru123/ContextCollector

Show and Tell: A Neural Image Caption Generator

https://github.com/AndreiMoraru123/Watch-and-Tell

Show and Tell: A Neural Image Caption Generator

https://github.com/AndyDodss/iicnn

A Neural Algorithm of Artistic Style

https://github.com/AndySECP/Papers-Implementation

A Neural Algorithm of Artistic Style

https://github.com/AniketVashishtha/SUPER_RESOLUTION_DL

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/AnjanaGJoseph/Super-Resolution-GAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/Anna996/Neural-Style-Transfer-Project

A Neural Algorithm of Artistic Style

https://github.com/AntixK/PyTorch-VAE

Deep Feature Consistent Variational Autoencoder

https://github.com/Aprilkaka/nonlocal_mindspore

Non-local Neural Networks

https://github.com/AquibPy/Cycle-GAN

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

https://github.com/ArashHosseini/hand-graph-cnn-gpu

3D Hand Shape and Pose Estimation from a Single RGB Image

https://github.com/Araxeus/PNG-Upscale

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

https://github.com/Archangel212/psgan-batik

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

https://github.com/ArkaJU/Image-Colorization-CycleGAN

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

https://github.com/Arnav0400/Headpose_Estimation

Nose, eyes and ears: Head pose estimation by locating facial keypoints

https://github.com/Arthur-Shi/py-faster-rcnn

Mask R-CNN

https://github.com/Arthur151/CenterHMR

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

https://github.com/AshishSingh2261/Pedestrian_Instance_Segmentation

Mask R-CNN

https://github.com/AsianZeus/Ooze-Handwritten-Text-Generator

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

https://github.com/Asteur/paint_harmonization

Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses

https://github.com/Asthestarsfalll/UniFormer-MegEngine

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

https://github.com/Asthestarsfalll/VAN-MegEngine

Visual Attention Network

https://github.com/AtharvBhat/Plus-Ultra

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

https://github.com/Atharva-Phatak/Image2Image

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

https://github.com/Atharva-Phatak/PyTorch-Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/Atharva-Phatak/Season-Transfer

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

https://github.com/Au3C2/GVS

Generator Versus Segmentor: Pseudo-healthy Synthesis

https://github.com/Automunge/AutoMunge

XGBoost: A Scalable Tree Boosting System

https://github.com/AverageName/Cycle_gan_pytorch

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

https://github.com/AverageName/UI2IT

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

https://github.com/AwaleSajil/SuperGlue_Demo_Modified1

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/Ayaanesmail/Test.-

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

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