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motion prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction
Controllable Longer Image Animation with Diffusion Models
Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
A Mixture of Experts Approach to 3D Human Motion Prediction
Unified End-to-End V2X Cooperative Autonomous Driving
Multimodal Sense-Informed Prediction of 3D Human Motions
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties
MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
MoST: Multi-modality Scene Tokenization for Motion Prediction
Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
Two-Person Interaction Augmentation with Skeleton Priors
Towards more realistic human motion prediction with attention to motion coordination
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors
EgoNav: Egocentric Scene-aware Human Trajectory Prediction
CMP: Cooperative Motion Prediction with Multi-Agent Communication
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
Gaze-guided Hand-Object Interaction Synthesis: Dataset and Method
Human Motion Prediction under Unexpected Perturbation
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
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