Filters








3 Hits in 1.9 sec

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis [article]

Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
2020 arXiv   pre-print
Specifically, we propose SuperFront-GAN (SF-GAN) to synthesize a high-resolution (HR), frontal face from one-to-many LR faces with various poses and with the identity-preserved.  ...  We propose a generative adversarial network (GAN) -based model to generate high-quality, identity preserving frontal faces from one or multiple low-resolution (LR) faces with extreme poses.  ...  SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis Yu Yin, Joseph P.  ... 
arXiv:2012.04111v1 fatcat:su2ef6g2tnd4rcfg5uwng3u2cu

Automatic Face Understanding: Recognizing Families in Photos [article]

Joseph P Robinson
2021 arXiv   pre-print
The locations of landmarks are determined from generated heatmaps from which predicted landmark locations get penalized without accounting for the spread: a high scatter corresponds to low confidence and  ...  To address this, we introduced an objective that penalizes for low confidence. Another issue is a dependency on labeled data, which is expensive to collect and susceptible to error.  ...  Robinson, Songyao Jiang, Yue Bai, Qin Can, and Yun Fu, "SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis," CoRR arXiv:2012.04111, 2020. [paper] [21] 6.  ... 
arXiv:2102.08941v1 fatcat:eqje3jh23nb6do7crz7rw6342a

Refract Journal, Volume 3: Hauntings and Traces Full Issue

Refract Journal Editorial Board
2020 Refract An Open Access Visual Studies Journal  
The notes played are within a range of eight semitones, as though confined to a narrow tunnel, but meanwhile, there are overtones at work, a very high B here, a very low C# there, sustained in the gallery  ...  The aim here is to think of what emerges through the synthesis of television studies and art history, the synthesis of Tinguely and Brinkley.  ...  as a major natural resource from 1900 to 1980.  ... 
doi:10.5070/r73151195 fatcat:o33zpdsrova5xkjdv6admxnroe