7 citations · 9 across the 3 of their papers we have counts for
7 papers
MIGS: Meta Image Generation from Scene Graphs
Azade Farshad, Sabrina Musatian, Helisa Dhamo +1
Generation of images from scene graphs is a promising direction towards explicit scene generation and manipulation. However, the images generated from the scene graphs lack quality…
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
Helisa Dhamo, Fabian Manhardt, Nassir Navab +1
Controllable scene synthesis consists of generating 3D information that satisfy underlying specifications. Thereby, these specifications should be abstract, i.e. allowing easy user…
Unconditional Scene Graph Generation
Sarthak Garg, Helisa Dhamo, Azade Farshad +3
Despite recent advancements in single-domain or single-object image generation, it is still challenging to generate complex scenes containing diverse, multiple objects and their in…
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Johanna Wald, Helisa Dhamo, Nassir Navab +1
Scene understanding has been of high interest in computer vision. It encompasses not only identifying objects in a scene, but also their relationships within the given context. Wit…
Semantic Image Manipulation Using Scene Graphs
Helisa Dhamo, Azade Farshad, Iro Laina +4
Image manipulation can be considered a special case of image generation where the image to be produced is a modification of an existing image. Image generation and manipulation hav…
Object-Driven Multi-Layer Scene Decomposition From a Single Image
Helisa Dhamo, Nassir Navab, Federico Tombari
We present a method that tackles the challenge of predicting color and depth behind the visible content of an image. Our approach aims at building up a Layered Depth Image (LDI) fr…