Computer Graphics & Visual Computing (CGVC) 2019
Permanent URI for this collection
Browse
Browsing Computer Graphics & Visual Computing (CGVC) 2019 by Author "Fudos, Ioannis"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning(The Eurographics Association, 2019) Toulatzis, Vasilis; Fudos, Ioannis; Vidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C.In real-world applications terrains play a cardinal role in the field of games and geospatial applications such as Geographic Information Systems (GIS). The textures of a terrain are essential for creating virtual photorealistic environments for users. In many cases, the entire texture of a region is not available in high resolution or is much smaller than the required texture to cover a terrain. Tiling of a texture across a terrain or using an enlarged version of it usually fails to provide an acceptable photorealistic result. Consequently, high quality texture synthesis is a central issue in such settings. In this paper, we explore a novel methodology that extends previous work providing both synthesis and expansion/shrinkage of a texture.Item A Mesh Correspondence Approach for Efficient Animation Transfer(The Eurographics Association, 2019) Moutafidou, Anastasia; Fudos, Ioannis; Vidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C.Animating a novel character not only needs a lot of effort and time but also requires the intervention of an experienced user. Moreover, the traditional animation pipeline for a set of characters can be a tedious and cumbersome process which often needs to be repeated several times to correct artifacts. We propose a user-friendly, semi-automated efficient method which is realized in two phases: (i) mesh correspondence, and (ii) skeleton and skinning transfer. We have developed a software tool for realizing the entire process without the need of third party software. We have improved the efficiency of the entire animation transfer process. To substantiate this, we provide a comparative performance evaluation with previous competent approaches.