CompVis
university
AI & ML interests
Generative approaches for visual synthesis, Invertible deep models for explainable AI, Deep metric and representation learning, self-supervised learning paradigms
Papers
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
What If : Understanding Motion Through Sparse Interactions
CompVis
's datasets
None public yet