Interactive Learning Path
Three Paths to
Real-Time Avatars
From fundamentals to implementation. Each track builds from core concepts to working code, with interactive demos along the way. Choose your path based on your goals.
Which path is right for you?
Want photorealism of a specific person?
Start with Gaussian Splatting -- capture once, render in real-time forever.
Need precise animation control?
Start with -- industry-standard rigs with live face tracking.
Want any face from one photo, or building a production app?
Start with Video Generation -- diffusion synthesis and streaming providers via WebRTC.
End-to-End Real-Time Avatar
Build a complete conversational avatar system from scratch. Learn how audio flows through STT, LLM, TTS, and avatar rendering, with working code for each of the three approaches.
Deep Dive: Choose Your Track
Gaussian Splatting
3D Gaussian primitives for photorealistic rendering
Learn how millions of fuzzy 3D blobs can represent photorealistic scenes and avatars, rendering at 60+ FPS on consumer hardware.
MetaHuman Pipeline
Game-engine rigged avatars with precise control
Understand how game engines use skeletal rigs, blendshapes, and real-time face tracking to animate detailed 3D characters.
Video Generation
Diffusion synthesis and streaming infrastructure
Explore diffusion-based talking head synthesis and the WebRTC streaming infrastructure that delivers avatars to any device in real time.
How These Guides Work
Level 1: Practical Start
Each track starts with "what does this do?" — practical explanations you can understand in 60 seconds. No prerequisites beyond basic programming.
Level 2: Deep Dive
Curious about the math? Click any concept to drill deeper. Each explanation links to its prerequisites, so you can go as deep as needed.
Level 3: Interactive Demos
Every concept has tweakable parameters. Manipulate a Gaussian, reorder alpha layers, watch diffusion denoise — learning by doing.
Quick Comparison
| Approach | Latency | Quality | Setup Cost | Best For |
|---|---|---|---|---|
| Gaussian Splatting | ~16ms | Photorealistic | High (capture) | Static scenes, known identities |
| MetaHuman | ~16ms | High-quality 3D | Medium (setup) | Games, precise animation control |
| Video Generation | 100-800ms | Photorealistic | Low (1 photo / API) | Any face, production apps |
See It In Action
Try real-time avatar demos spanning different approaches.
These approaches are converging
The future isn't picking one approach -- it's combining them. MetaHumans enhanced by generative models. Gaussian avatars driven by parametric rigs. Understanding all three paths helps you build hybrid systems that take the best of each.