Overview of generative models evaluated on a simple, visually interpretable 3D voxel dataset:
- Creation of an easy-to-interpret 3D voxel dataset derived from 2D characters
- Conditional WGAN-GP for fast 3D volume generation
- Conditional diffusion model for smoother and more coherent volumetric synthesis
- Evaluation using KID, PCC, and Separation Power metrics
- Comparative analysis of generative behavior across increasing dataset complexity
Speaker:
Aleksander Ogonowski