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Multimodal Image Outpainting with Regularized Normalized Diversification
2020
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
Figure 1 : Given only a small foreground region, our model can learn to outpaint a set of diverse and plausible missing backgrounds in both face image and street scene image. Abstract In this paper, we study the problem of generating a set of realistic and diverse backgrounds when given only a small foreground region. We refer to this task as image outpainting. The technical challenge of this task is to synthesize not only plausible but also diverse image outputs. Traditional generative
doi:10.1109/wacv45572.2020.9093636
dblp:conf/wacv/ZhangWS20a
fatcat:4tiqyfsvvjclroesqugdbibsii