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Found 6 papers, 2 papers with code
MCM: Multi-condition Motion Synthesis Framework
Conditional human motion synthesis (HMS) aims to generate human motion sequences that conform to specific conditions.
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Motion Synthesis
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Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference
Finally, we employ the diffusion model to train and infer various gestures.
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
We also introduce a Transformer-based diffusion model MWNet (DDPM-like) as our main branch that can capture the spatial complexity and inter-joint correlations in motion sequences through a channel-dimension self-attention module.
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
In this work, we take a step towards training robust models for cross-domain pose estimation task, which brings together ideas from causal representation learning and generative adversarial networks.
Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning
This paper employs case-based reasoning (CBR) to capture the personal styles of individual artists and generate the human facial portraits from photos accordingly.
