Unsupervised person image synthesis in arbitrary poses
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
European Commisision's projectEC-H2020-2PE
We present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our model renders the image of the same person under the new pose, synthesizing novel views of the parts visible in the input image and hallucinating those that are not seen. This problem has recently been addressed in a supervised manner, i.e., during training the ground truth images under the new poses are given to the network. We go beyond these approaches by proposing a fully unsupervised strategy. We tackle this challenging scenario by splitting the problem into two principal subtasks. First, we consider a pose conditioned bidirectional generator that maps back the initially rendered image to the original pose, hence being directly comparable to the input image without the need to resort to any training image. Second, we devise a novel loss function that incorporates content and style terms, and aims at producing images of high perceptual quality. Extensive experiments conducted on the DeepFashion dataset demonstrate that the images rendered by our model are very close in appearance to those obtained by fully supervised approaches.
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CitationPumarola, A. [et al.]. Unsupervised person image synthesis in arbitrary poses. A: IEEE Conference on Computer Vision and Pattern Recognition. "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 8620-8628.
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos 
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos 
- ROBiri - Grup de Robòtica de l'IRI - Ponències/Comunicacions de congressos 
- VIS - Visió Artificial i Sistemes Intel.ligents - Ponències/Comunicacions de congressos