Human action generation
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Benchmarks
Human3.6M
NTU RGB+D 2D
NTU RGB+D
NTU RGB+D 120
CMU Mocap
HumanAct12
UESTC RGB-D
Most implemented
Conditional Generative Adversarial Nets
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
Human Action Generation with Generative Adversarial Networks
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
Action-conditioned On-demand Motion Generation
Papers
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
Despite significant advances in video generation, synthesizing physically plausible human actions remains a persistent challenge, particularly in modeling fine-grained semantics and complex temporal dynamics. For instanc…
Action GenerationHuman action generationIn-Context LearningVideo GenerationFLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and algorithms have been proposed recently, the…
Action GenerationAction RecognitionHuman action generationHuman Mesh Recovery+1Action-conditioned On-demand Motion Generation
We propose a novel framework, On-Demand MOtion Generation (ODMO), for generating realistic and diverse long-term 3D human motion sequences conditioned only on action types with an additional capability of customization. …
Contrastive LearningDecoderHuman action generationMotion GenerationGenerative Adversarial Graph Convolutional Networks for Human Action Synthesis
Synthesising the spatial and temporal dynamics of the human body skeleton remains a challenging task, not only in terms of the quality of the generated shapes, but also of their diversity, particularly to synthesise real…
Action GenerationDisentanglementDiversityHuman action generation+2MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion
We introduce MUGL, a novel deep neural model for large-scale, diverse generation of single and multi-person pose-based action sequences with locomotion. Our controllable approach enables variable-length generations custo…
Action GenerationDiversityHuman action generationAction-Conditioned 3D Human Motion Synthesis with Transformer VAE
We tackle the problem of action-conditioned generation of realistic and diverse human motion sequences. In contrast to methods that complete, or extend, motion sequences, this task does not require an initial pose or seq…
Action RecognitionDenoisingHuman action generationMotion Synthesis