Papers with Code 아카이브
3D Human Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 9
- 평가표
- 25
- 보존된 평가 기록
- 447
3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/russoale/hmr2.0
https://github.com/rwightman/pytorch-image-models
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
https://github.com/ryanhalabi/starcraft_super_resolution
https://github.com/sanghyun-son/EDSR-PyTorch
https://github.com/sap3d/Sap3D
https://github.com/satyaborg/pose-estimation-detection
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/sberbank-ai/DigiTales
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/sberbank-ai/DigiTeller
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/sberbank-ai/real-esrgan
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/sczhou/upscale-a-video
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
https://github.com/sdauzcm/sr-basicsr
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/sdll/hrnet-pose-estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/sdxone/resolution
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/securade/hub
https://github.com/serviceberry3/3d-pose-baseline_android
A simple yet effective baseline for 3d human pose estimation
https://github.com/sgoldyaev/DeepFashion.ADGAN
https://github.com/sgrvinod/a-pytorch-tutorial-to-super-resolution
https://github.com/shanglianlm0525/CvPytorch
https://github.com/shihenw/convolutional-pose-machines-release
https://github.com/shreeyashyende/better_img_res_with_SRCNN
https://github.com/shreyashampali/HOnnotate
HOnnotate: A method for 3D Annotation of Hand and Object Poses
https://github.com/shreyashampali/ho3d
HOnnotate: A method for 3D Annotation of Hand and Object Poses
https://github.com/shunsukesaito/PIFu
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
https://github.com/sidify/3d-pose-estimation
A simple yet effective baseline for 3d human pose estimation
https://github.com/sidsunny/human-pose-estimation-mlsp
A simple yet effective baseline for 3d human pose estimation
https://github.com/sithu31296/pose-estimation
Human Pose Regression with Residual Log-likelihood Estimation
https://github.com/sjtuytc/segmentation-driven-pose
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/skchen1993/SwinIR
https://github.com/smellslikeml/YogAI
https://github.com/soham239/MLND_Capstone_Project
https://github.com/sooyekim/3DSRnet
3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks
https://github.com/soulslicer/staf
https://github.com/sourabhagrawal23/human-action-classification
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/srpkdyy/VideoLDM
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
https://github.com/ssulun/pytorch-pixelshuffle1d
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