Supplementary Material

Most warping-based methods formulate retargeting as a spatially-varying warping problem over a uniform mesh and encourage each mesh grid to undergo a conformal transformation

The original images and the results except ours are downloaded from the website that accompanies the paper "A Comparative Study of Image Retargeting",

The core of our system is a novel algorithm to adaptively segment repeated curved stripes (e.g., roof tiles, building floors) into individual elements, based on which 3D dimensions

The contributions of this paper are: (i) We improve the image correspondence framework of TIM, relaxing the as- sumptions on the underlying weight functions and transfor- mations,

Bigger  figures  with  bigger  captions  to  explain  better  the  visualization

Unlike previous image smoothing techniques which use the low-level vision features, such as appearance and gradient, or the mid-level vision features, such as edge or

Based on advances in texture synthesis using CNNs we propose patch-based image inpainting by a CNN that is able to optimize for global as well as detail texture statistics.. Our

Users explore the datasets on a variety of devices, from mobile phones to large-scale displays in museum installations, using JavaScript/WebGL2 clients capable to perform

Original image Gray image Random sample points Recovered...

operationalizes the Service Branding process (Image 5.9) through the concept of Semantic Transformation for Experiences – a theoretical approach, which integrates

1 Department of Arctic and Marine Biology, Faculty of BioSciences, Fisheries and Economics, University of Tromsø, 9037 Tromsø, Norway.. 2 Institute of Marine Research, PO Box 6404,

Shoemaking was documented through 11 basic sources and two supplementary sources, ‘other leatherwork’ through eight basic and one supplementary source, the tendency in the

p.Gly62Cys in KRT8 (Supplementary material online, Tables S10 and S11) and the missense variants in TTN/CCDC141 (Supplementary material online, Table S12) did not associate with

Under assumptions of perfect screening adherence, the minimum and maximum values across 50 parameter sets (i.e. representing the uncertainty bounds) for the primary analysis outcomes

In the initial population, the genetic traits are assumed to be normally distributed with mean initial trait values and genetic variances de- termined by the coefficient of

Estimated smooth functions (s) showing relationship betwen date and year and the simulated blubber thickness using the data set with reduced temporal resolution.. Shaded areas show

5.6 Personalized Recommendation of Socially Relevant Images.. 6 RelatedWork 87 6.1 User Behavior in Online Social Network. 87 6.2 Image Annotation in Online Social Network. 88

M2S and CAIR are based on the theory concerning images, content-based image retrieval, text-based image retrieval, context and context-awareness, image annotation, The Semantic Gap,

Concurrently, progress in computer vision and machine learning have given rise to a new approach to image synthesis and editing, namely deep generative models.. Neural rendering is

Unlike in most exemplar-based inpainting methods where patches are usu- ally defined by regular structures (square, rectangle, ...), in the new method, the patches are built using

Figure 1: We propose a novel generative approach for image inpainting by incorporating the semantic information through conditional feature modulation and using dual discriminators

Xiao / Supplementary for “Luminance Attentive Networks for HDR Image and Panorama Reconstruction”..

In: European Conference on Computer Vision. Springer International Publishing, 2020, pp. “pi-GAN: Periodic Implicit Generative Ad- versarial Networks for 3D-Aware Image