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하위 태스크: 12
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코드

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

https://github.com/pedrodiamel/ferattention

Burst ranking for blind multi-image deblurring

https://github.com/pedropro/UrsoNet

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

https://github.com/peilinrao/AutoComics

A Neural Algorithm of Artistic Style

https://github.com/pengwangucla/DeLS-3D

DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map

https://github.com/perfanalytics/pose2sim

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

https://github.com/peria1/VAEconvMNIST

Deep Feature Consistent Variational Autoencoder

https://github.com/periakiva/periakiva

ViewSynth: Learning Local Features from Depth using View Synthesis

https://github.com/peterfws/structure-plp-slam

Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction

https://github.com/peteryuX/esrgan-tf2

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/pfnet-research/chainer-gogh

A Neural Algorithm of Artistic Style

https://github.com/pgagarinov/dls-style-telegram-bot

A Neural Algorithm of Artistic Style

https://github.com/phantom-video/phantom

Phantom: Subject-consistent video generation via cross-modal alignment

https://github.com/philipNoonan/OPVP3D

3D human pose estimation in video with temporal convolutions and semi-supervised training

https://github.com/philipjackson/style-augmentation

Exploring the structure of a real-time, arbitrary neural artistic stylization network

https://github.com/phtruongan/py-faster-rcnn-docker

https://github.com/phykn/film-defect-detection

https://github.com/phymhan/prompt-to-prompt

Prompt-to-Prompt Image Editing with Cross Attention Control

https://github.com/pierobeat/Hoax-News-Classification

XGBoost: A Scalable Tree Boosting System

https://github.com/pierpaolosepe/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/pikabite/segmentations_tf2

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/pilot7747/sldl

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

https://github.com/pixelite1201/CameraHMR

CameraHMR: Aligning People with Perspective

https://github.com/pj1920/mask-r-cnn

https://github.com/pjrambo/VINS-Fusion-gpu

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

https://github.com/playvoice/grad-svc

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

https://github.com/pminhtam/2D-3D_Multitask_Deep_Learning

2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

https://github.com/pmiraldo/MinimalMultiPerspectivePose

A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines

https://github.com/pmm09c/ntire-dehazing

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

https://github.com/pocheck-v2/Pocheck-V2-Beta

Face Alignment Assisted by Head Pose Estimation

https://github.com/pohwa065/Deep-Learning-for-Super-Resolution-and-Image-Enhancement

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/pohwa065/SRGAN-for-Super-Resolution-and-Image-Enhancement

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/poier/PreView

Learning Pose Specific Representations by Predicting Different Views

https://github.com/poier/murauer

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

https://github.com/poikilos/pyrotocanvas

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

https://github.com/polmonroig/style_transfer

A Neural Algorithm of Artistic Style

https://github.com/polospeter/TensorFlow-Advanced-Techniques-Specialization

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