Near-regular texture analysis and manipulation

By Yanxi Liu, Wen-Chieh Lin, James Hays. ACM Transactions on Graphics, 2004

319 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/062a2de4a7a129026076be867b20785e4ffe4da3

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In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Search-and-replace editing for personal photo collections (2010, background): “For more regular textures, individual repeated elements can be detected explicitly [20].”
Texture Synthesis with Spatial Generative Adversarial Networks (2016, methodology): “a chess grid pattern) is problematic for some methods [11].”
The Synthesizability of Texture Examples (2014, methodology): “Irregular textures are harder to synthesize than regular ones [23], so we conjecture that the irregularity of textures is also relevant to their synthesizability.”
Discriminative Models for Multi-Class Object Layout (2009, background): “We show stateof-the-art results on the PASCAL VOC benchmark that indicate the benefits of learning a global model encapsulating the spatial layout of multiple object classes.”
Synthesizing structured image hybrids (2010, methodology): “Following the hierarchical synthesis paradigm, the output is generated in a series of images, S 0,S 1, . . . ,S L, of increasing resolution.”
Interactive image completion with perspective correction (2006, methodology): “[26] we do have not to cover exactly one texture element with each quad of the grid (see Fig.”
Image completion using planar structure guidance (2014, background): “User-speciﬁed constraints include label map [Hertz-mann et al. 2001], line structure continuation [Sun et al. 2005], perspective [Pavi ´ c et al. 2006], lattice [Liu et al. 2004], and symmetry [Huang et al. 2013b].”
A Survey of Urban Reconstruction (2013, methodology): “Other image processing approaches utilized the detected symmetry of regu-submittedtoCOMPUTERGRAPHICS Forum (6/2013). lar [HLEL06] and near-regular patterns [LLH04,LBHL08] in order to model new images.”
A Statistical Approach to Material Classification Using Image Patch Exemplars (2009, background): “Note that no higher-order statistics or image regularity information [34], [36] has been used and this can only improve results.”