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Observational data together with a generative model
The data is used to test the effect of treatment on the response. The data is sampled from a uniform distribution over all the subsets of N of size s, and the set of treated... -
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN is a new unconditional generative model that can be learned from a single natural image. -
Towards Book Cover Design via Layout Graphs
Book covers are intentionally designed and provide an introduction to a book. However, they typically require professional skills to design and produce the cover images. Thus,... -
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
Human generation has achieved significant progress. Non nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We propose to use... -
Sound2Scene
Sound2Scene is a sound-to-image generative model and training procedure that addresses the challenges of dealing with the large gaps that often exist between sight and sound. -
TrafficGen
The TrafficGen dataset is a collection of traffic scenarios generated using a generative model.