Results 31 to 40 of about 248,404 (280)
By-example synthesis of architectural textures [PDF]
ACM SIGGRAPH 2010 papers, 2010 Textures are often reused on different surfaces in large virtual environments. This leads to unpleasing stretch and cropping of features when textures contain architectural elements. Existing retargeting methods could adapt each texture to the size of their support surface, but this would imply storing a different image for each and every surface ...
Lefebvre, Sylvain +2 more
openaire +5 more sources
Texture development in Fe-doped alumina ceramics via templated grain growth and their application to carbon nanotube growth [PDF]
, 2013 Fe-doped alumina (Fe-Al2O3) materials with a controlled microstructure could be designed for some special uses such as a substrate for carbon nanotube growth.
Flahaut, Emmanuel +4 more
core +3 more sources
Texture synthesis guided deep hashing for texture image retrieval [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Video Presentation: https://www.youtube.com/watch?v ...
Bhunia, Ayan Kumar +4 more
openaire +2 more sources
Random Phase Textures: Theory and Synthesis [PDF]
IEEE Transactions on Image Processing, 2011 This paper explores the mathematical and algorithmic properties of two sample-based texture models: random phase noise (RPN) and asymptotic discrete spot noise (ADSN). These models permit to synthesize random phase textures. They arguably derive from linearized versions of two early Julesz texture discrimination theories.
Bruno Galerne +2 more
openaire +2 more sources
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
, 2018 In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are the first to examine texture control.
Agrawal, Varun +7 more
core +1 more source
Blind Quality Prediction for View Synthesis Based on Heterogeneous Distortion Perception
Sensors, 2022 The quality of synthesized images directly affects the practical application of virtual view synthesis technology, which typically uses a depth-image-based rendering (DIBR) algorithm to generate a new viewpoint based on texture and depth images.
Haozhi Shi, Lanmei Wang, Guibao Wang
doaj +1 more source
Diversified Texture Synthesis with Feed-forward Networks
, 2017 Recent progresses on deep discriminative and generative modeling have shown promising results on texture synthesis. However, existing feed-forward based methods trade off generality for efficiency, which suffer from many issues, such as shortage of ...
Fang, Chen +5 more
core +1 more source
Partial disentanglement of hierarchical variational auto‐encoder for texture synthesis
IET Computer Vision, 2020 Multiple research studies have recently demonstrated deep networks can generate realistic‐looking textures and stylised images from a single texture example. However, they suffer from some drawbacks.
Marek Jakab, Lukas Hudec, Wanda Benesova
doaj +1 more source
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
, 2019 This paper addresses the problem of interpolating visual textures. We formulate this problem by requiring (1) by-example controllability and (2) realistic and smooth interpolation among an arbitrary number of texture samples.
Amirghodsi, Sohrab +4 more
core +1 more source
Perspective-aware texture analysis and synthesis [PDF]
, 2008 The original publication is available at www.springerlink.comInternational audienceThis paper presents a novel texture synthesis scheme for anisotropic 2D textures based on perspective feature analysis and energy optimization.
Dong, Weiming +2 more
core +4 more sources