Image Synthesis and Machine Learning
Research Group
Computer Graphics • Visual Computing and Artificial Intelligence
Our group conducts research at the intersection of visual computing and machine learning. We develop algorithms that enable fast and high-quality image generation for interactive virtual environments. To this end, we consider a broad range of approaches to image synthesis.
Our research interests include:
- Machine learning for visual computing
- Neural signal representations
- Generative models
- Data-driven/neural rendering
- Physically-based rendering
- Inverse rendering
- Efficient parallel algorithms
