Researchers have developed a new method called Drivable 3D Gaussian Avatars (D3GA) for rendering realistic human bodies. Using Gaussian splats instead of radiance fields, the method accurately represents human appearance and deformations. It eliminates the need for extensive pre-processing and achieves high-quality results without requiring ground truth geometry. The research outperforms current methods and reduces processing time.
This AI Research Presents Drivable 3D Gaussian Avatars (D3GA): The First 3D Controllable Model for Human Bodies Rendered with Gaussian Splats
The Impressionist art movement, known for its broken brushstrokes, inspired a new approach to rendering realistic human subjects in photographs. However, existing techniques for creating drivable photorealistic humans require extensive multi-view data and complex pre-processing.
Researchers from Meta Reality Labs Research, Technical University of Darmstadt, and Max Planck Institute for Intelligent Systems have developed a new method for representing 3D human appearance and deformations using 3D Gaussians. This approach allows for avatars with realistic anatomy and aesthetics that can be easily animated.
The researchers use Gaussian splats as a replacement for brushstrokes, eliminating the need for complicated camera ray sampling. They also employ cages as a deformation model, which simplifies the transformation of 3D Gaussian representations. This approach allows for separate representation of the torso, face, and clothing using cages.
The team trained person-specific models using a condensed input based on human stance, reducing the need for dense input signals. The method produces high-quality output and outperforms existing techniques, even with equivalent input. Importantly, it does not require ground truth geometry, reducing processing time.
If you’re interested in learning more about this research, you can check out the paper and project page.
Evolve Your Company with AI
If you want to stay competitive and leverage AI for your company’s advantage, consider the following steps:
- Identify Automation Opportunities: Find key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI initiatives have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and offer customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
For AI KPI management advice, you can connect with us at hello@itinai.com. Stay updated on the latest AI research news and projects by joining our ML SubReddit, Facebook Community, Discord Channel, and Email Newsletter.
Practical AI Solution Spotlight: AI Sales Bot
Consider using the AI Sales Bot from itinai.com/aisalesbot to automate customer engagement and manage interactions across all stages of the customer journey. Discover how AI can redefine your sales processes and customer engagement by exploring our solutions at itinai.com.
