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Human action generation
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Yan et al. (2019) CSGN:
"When the dancer is stepping, jumping and spinning on the stage, attentions of all audiences are attracted by the streamof the fluent and graceful movements. Building a model that is capable of dancing is as fascinating a task as appreciating the performance itself. In this paper, we aim to generate long-duration human actions represented as skeleton sequences, e.g. those that cover the entirety of a dance, with hundreds of moves and countless possible combinations."
<span style="color:grey; opacity: 0.6">( Image credit: Convolutional Sequence Generation for Skeleton-Based Action Synthesis )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
WorldVLA: Towards Autoregressive Action World Model
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
Block-wise Adaptive Caching for Accelerating Diffusion Policy
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction
Hierarchical Instruction-aware Embodied Visual Tracking
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Distilling LLM Agent into Small Models with Retrieval and Code Tools
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps
Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
STORY2GAME: Generating (Almost) Everything in an Interactive Fiction Game
A Survey on GUI Agents with Foundation Models Enhanced by Reinforcement Learning
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
Modality Selection and Skill Segmentation via Cross-Modality Attention
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
A Survey on (M)LLM-Based GUI Agents
LLM Agents That Act Like Us: Accurate Human Behavior Simulation with Real-World Data
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Mind with Eyes: from Language Reasoning to Multimodal Reasoning
PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning
Diffuse-CLoC: Guided Diffusion for Physics-based Character Look-ahead Control
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