3 citations · 4 across the 5 of their papers we have counts for
5 papers
GeoSceneGraph: Geometric Scene Graph Diffusion Model for Text-guided 3D Indoor Scene Synthesis
Antonio Ruiz, Tao Wu, Andrew Melnik +6
Methods that synthesize indoor 3D scenes from text prompts have wide-ranging applications in film production, interior design, video games, virtual reality, and synthetic data gene…
City Models: Past, Present and Future Prospects
Helge Ritter, Otthein Herzog, Kurt Rothermel +2
We attempt to take a comprehensive look at the challenges of representing the spatio-temporal structures and dynamic processes defining a city's overall characteristics. For the ta…
Video Diffusion Models: A Survey
Andrew Melnik, Michal Ljubljanac, Cong Lu +3
Diffusion generative models have recently become a powerful technique for creating and modifying high-quality, coherent video content. This survey provides a comprehensive overview…
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models
Antonio Ruiz, Andrew Melnik, Nicolo Savioli +3
The lane graph is critical for applications such as autonomous driving and lane-level route planning. While previous research has focused on extracting lane-level graphs from aeria…
Benchmarks for Physical Reasoning AI
Andrew Melnik, Robin Schiewer, Moritz Lange +4
Physical reasoning is a crucial aspect in the development of general AI systems, given that human learning starts with interacting with the physical world before progressing to mor…