Papers with Code 아카이브

Human Pose Forecasting

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하위 태스크: 0
평가표: 7
보존된 평가 기록: 69

Human pose forecasting is the task of detecting and predicting future human poses.

<span style="color:grey; opacity: 0.6">( Image credit: EgoPose )</span>

코드

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

https://github.com/xccyue/MutualDistance

공식 코드

Scene-aware Human Motion Forecasting via Mutual Distance Prediction

https://github.com/Djmcflush/Funky-Movement

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/EdoardoBotta/Gaussian-Mixture-VAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/Jacoo-Zhao/3D-Pose-Based-Feedback-For-Physical-Exercises

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/KMarino/MMD_evalcode

The Pose Knows: Video Forecasting by Generating Pose Futures

https://github.com/ThomasDupiereux/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/YQRickWang/Motion_Prediction

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

https://github.com/apratimbhattacharyya18/CGM_BestOfMany

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

https://github.com/bouracha/Gen_Motion

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/bouracha/OoDMotion

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/chengxuduan/advhmp

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/ebarsoum/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/enriccorona/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/facebookresearch/QuaterNet

On human motion prediction using recurrent neural networks

https://github.com/garroud/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/garyzhao/FRGAN

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

https://github.com/gauraviiita/Visualization-of-Human3.6M-Dataset

On human motion prediction using recurrent neural networks

https://github.com/hbahadirsahin/gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/mohsenzand/reschunk

Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction

https://github.com/nageshpindi/human-motion-prediction-master

On human motion prediction using recurrent neural networks

https://github.com/pranav-chib/trajimpute

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

https://github.com/psanch21/VAE-GMVAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/xcyan/eccv18_mtvae

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

https://github.com/zaverichintan/Intention-based-Long-Term-Human-Motion-Anticipation

https://github.com/zhaolongkzz/human_motion

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

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