Research Direction 01
Generative & Restoration AI
We study modern generative models including diffusion models, GAN variants, and recent video and 3D/4D generative frameworks. Our research emphasizes controllable generation, temporal and spatial consistency, efficient inference, and safety. We aim to build practical generative pipelines that can reliably produce high-quality images, videos, and 3D/4D representations under real-world computational and deployment constraints.
Research Topics
Diffusion Models
Video Generation
3D / 4D Generation
Controllable Generation
Efficient Inference
Safe & Trustworthy Generation