Intermediate
Multimodal Human Video Generation with HuMo
HuMo generates human videos from diverse inputs via progressive strategies, ensuring lip-sync and motion coherence.
Core Skills
Fundamental abilities you'll develop
- Implement progressive training for audio-visual sync.
- Create datasets for human-centric video tasks.
Learning Goals
What you'll understand and learn
- Evaluate quality in human motion realism.
Practical Skills
Hands-on techniques and methods
- Describe unified multimodal inputs for video gen (text/image/audio).
- Generate synchronized videos from mixed inputs.
Intermediate Level
Structured Learning Path
🎯 Skill Building
Intermediate Content Notice
This lesson builds upon foundational AI concepts. Basic understanding of AI principles and terminology is recommended for optimal learning.
Multimodal Human Video Generation with HuMo
Introduction
HuMo generates human videos from diverse inputs via progressive strategies, ensuring lip-sync and motion coherence.
Key Concepts
- Multimodal Fusion: Combine text, image, audio embeddings.
- Progressive Training: Start with simple (text-to-video), add complexity.
- Datasets: Curated for human actions (e.g., talking heads).
Implementation Steps
- Data Prep:
- Collect/annotate multimodal pairs.
- Model Architecture:
import torch.nn as nn class HuMoModel(nn.Module): def __init__(self): self.fusion = nn.MultiheadAttention(embed_dim=512) def forward(self, text, image, audio):
Fuse and generate frames
pass
3. **Training**:
- Progressive: Freeze early layers, add modalities.
4. **Inference**:
- Input: "Person dancing to jazz" + audio clip → Video output.
## Example
Text: "Smiling speaker"; Audio: Speech → Lip-synced talking head video.
## Evaluation
- Metrics: FID for visuals, SyncNet for audio-video alignment.
- Trade-offs: Compute for fusion vs. realism.
## Conclusion
HuMo-like approaches advance accessible video AI; experiment with diffusion models for extensions.
Continue Your AI Journey
Build on your intermediate knowledge with more advanced AI concepts and techniques.