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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

1

코드

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

https://github.com/Joyce511/OpenVino_Realtime_Multi-Person_Pose_Estimation

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

https://github.com/Jtoo/fitting_human_smpl_model

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

https://github.com/JuliaChae/M3D-RPN-Waymo

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

https://github.com/Junghwan-brian/SDE-Net

Neural Ordinary Differential Equations

https://github.com/JungminChung/Korean_Struc_Det

Objects as Points

https://github.com/JunkyByte/deepcharuco

Deep ChArUco: Dark ChArUco Marker Pose Estimation

https://github.com/JunkyByte/easy_ViTPose

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

https://github.com/JunnYu/x-transformers-paddle

CogView: Mastering Text-to-Image Generation via Transformers

https://github.com/Junyi42/monst3r

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

https://github.com/JustWon/mystyletransfer

A Neural Algorithm of Artistic Style

https://github.com/Justin-Tan/generative-compression

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

https://github.com/Jwrede/neural_style_transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/KMarino/MMD_evalcode

The Pose Knows: Video Forecasting by Generating Pose Futures

https://github.com/KMnP/fashionpedia-api

Mask R-CNN

https://github.com/KPIxLILU/Machine-Learning-Workshop

XGBoost: A Scalable Tree Boosting System

https://github.com/Kaif10/Pose-Detection

Convolutional Pose Machines

https://github.com/KaiyangZhou/ssdg-benchmark

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/Kalyan0821/NST

A Neural Algorithm of Artistic Style

https://github.com/Kalyan0821/myelinfoundry-challenge

A Neural Algorithm of Artistic Style

https://github.com/KamilCendrowicz/NST

A Neural Algorithm of Artistic Style

https://github.com/KamitaniLab/icnn

A Neural Algorithm of Artistic Style

https://github.com/KangDo96/Github-Ranking

Deep Photo Style Transfer

https://github.com/Kangmo/kogenta

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

https://github.com/KanikaNegi/text-to-image-using-GAN

Generative Adversarial Text to Image Synthesis

https://github.com/Karan-kapadia/Style-Transfer-karan

A Neural Algorithm of Artistic Style

https://github.com/KarenMars/TUD_MMSR

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

https://github.com/KarinaKorsgaard/Bartender-AI-OpenPose-Osc-Sender

Convolutional Pose Machines

https://github.com/Karine-Huang/T2I-CompBench

T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

https://github.com/Kathik-R/Gesture_Recognition_Drone

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

https://github.com/KathyReid/opensource-voice-tools

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

https://github.com/Kautenja/a-neural-algorithm-of-artistic-style

A Neural Algorithm of Artistic Style

https://github.com/KeremTurgutlu/papers

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

https://github.com/Khalifa-2020/centernet1

Objects as Points

https://github.com/Khalifa-2020/centernet2

Objects as Points

https://github.com/Khenu/Computer-Animation

3D Human Pose Machines with Self-supervised Learning

https://github.com/KingJamesSong/DifferentiableSVD

Robust Differentiable SVD

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