849 research outputs found
PCGAN: Partition-Controlled Human Image Generation
Human image generation is a very challenging task since it is affected by
many factors. Many human image generation methods focus on generating human
images conditioned on a given pose, while the generated backgrounds are often
blurred.In this paper,we propose a novel Partition-Controlled GAN to generate
human images according to target pose and background. Firstly, human poses in
the given images are extracted, and foreground/background are partitioned for
further use. Secondly, we extract and fuse appearance features, pose features
and background features to generate the desired images. Experiments on
Market-1501 and DeepFashion datasets show that our model not only generates
realistic human images but also produce the human pose and background as we
want. Extensive experiments on COCO and LIP datasets indicate the potential of
our method.Comment: AAAI 2019 versio
Effect of the Sodium Silicate Modulus and Slag Content on Fresh and Hardened Properties of Alkali-Activated Fly Ash/Slag
This paper presents the results of an experimental study performed to investigate the effect of activator modulus (SiO2/Na2O) and slag addition on the fresh and hardened properties of alkali-activated fly ash/slag (AAFS) pastes. Four activator moduli (SiO2/Na2O), i.e., 0.0, 1.0, 1.5, and 2.0, and five slag-to-binder ratios, i.e., 0, 0.3, 0.5, 0.7, 1.0, were used to prepare AAFS mixtures. The setting time, flowability, heat evolution, compressive strength, microstructure, and reaction products of AAFS pastes were studied. The results showed that the activator modulus and slag content had a combined effect on the setting behavior and workability of AAFS mixtures. Both the activator modulus and slag content affected the types of reaction products formed in AAFS. The coexistence of N-A-S-H gel and C-A-S-H gel was identified in AAFS activated with high pH but low SiO2 content (low modulus). C-A-S-H gel had a higher space-filling ability than N-A-S-H gel. Thus, AAFS with higher slag content had a finer pore structure and higher heat release (degree of reaction), corresponding to a higher compressive strength. The dissolution of slag was more pronounced when NaOH (modulus of 0.0) was applied as the activator. The use of Na2SiO3 as activator significantly refined the pores in AAFS by incorporating soluble Si in the activator, while further increasing the modulus from 1.5 to 2.0 prohibited the reaction process of AAFS, resulting in a lower heat release, coarser pore structure, and reduced compressive strength. Therefore, in view of the strength and microstructure, the optimum modulus is 1.5
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