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motion prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Human Motion Prediction, Reconstruction, and Generation
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
Towards Real-World Validation of a Physics-Based Ship Motion Prediction Model
A Survey of World Models for Autonomous Driving
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
Joint Perception and Prediction for Autonomous Driving: A Survey
Multi-Scale Incremental Modeling for Enhanced Human Motion Prediction in Human-Robot Collaboration
GPD-1: Generative Pre-training for Driving
Robust Multiple Description Neural Video Codec with Masked Transformer for Dynamic and Noisy Networks
PriorMotion: Generative Class-Agnostic Motion Prediction with Raster-Vector Motion Field Priors
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
PROFIT: A Specialized Optimizer for Deep Fine Tuning
TAROT: Targeted Data Selection via Optimal Transport
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals
MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning
DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
DiVR: incorporating context from diverse VR scenes for human trajectory prediction
Relation Learning and Aggregate-attention for Multi-person Motion Prediction
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation
Pedestrian motion prediction evaluation for urban autonomous driving
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.