https://github.com/Jacoo-Zhao/3D-Pose-Based-Feedback-For-Physical-Exercises
Learning Trajectory Dependencies for Human Motion Prediction
Papers with Code 아카이브
1 Image, 2*2 Stitchi
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Jaekyu-Sim/Open_Pose_for_Naver
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/JakobGroeftehauge/BachelorProject
https://github.com/JakobGroeftehauge/Brick-Pose-Estimation
https://github.com/JamesLiao714/MC_GAN
https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Jarr0d/Human-Parsing-Network
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/JaryV/CycleGAN_OldYoung
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JasperNg/ColorPreservationYUV
https://github.com/Javihaus/Auto-ML-app-with-dash
https://github.com/Jay0505/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JeeseongKim/SuperGlue
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/Jeff-sjtu/CrowdPose
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
https://github.com/JennEYoon/Coursera-DLAI
https://github.com/Jeongseungwoo/Singing-Style-transfer
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
https://github.com/JeongsolKim/BiS400_term_project
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/JeremyCCHsu/vae-npvc
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
https://github.com/JeremyCCHsu/vae4vc
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
https://github.com/Jesplar/LSTM-MusicGenerator
https://github.com/Jia-Research-Lab/MSAD
https://github.com/Jia-Research-Lab/Simple-SR
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
https://github.com/JiaPeng1234/MRI-Segmentation-Transformer
https://github.com/JiangShaoYin/DAN
Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/JiangWenPL/multiperson
Coherent Reconstruction of Multiple Humans from a Single Image
https://github.com/JimmyDoan1309/Neural-Style-Transfer
https://github.com/JirongZhang/DeepHomography
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
https://github.com/Jitensid/Neural-Style-Transfer
https://github.com/Jittor-Image-Models/Jittor-Image-Models
https://github.com/Jittor/InstanceSegmentation-jittor
https://github.com/JohanYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanZYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohnnyHopp/Pose-Estimation-Part-Affinity-Field-Mobilenetv2-
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/JonathanLehner/TecoGan-downloader
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/JorgeGtz/TextureNets_implementation
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/Josien94/MLiP
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/JoyPang123/Textmage
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.