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of 15 511
pro vyhledávání: '"texture synthesis"'
State-of-the-art RGB texture synthesis algorithms rely on style distances that are computed through statistics of deep features. These deep features are extracted by classification neural networks that have been trained on large datasets of RGB image
Externí odkaz:
http://arxiv.org/abs/2410.16019
Autor:
Kim, Jangyeong, Kang, Donggoo, Choi, Junyoung, Wi, Jeonga, Gwon, Junho, Bae, Jiun, Yoon, Dumim, Han, Junghyun
Text-to-texture generation has recently attracted increasing attention, but existing methods often suffer from the problems of view inconsistencies, apparent seams, and misalignment between textures and the underlying mesh. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2409.19989
Neural Cellular Automata (NCA) have proven to be effective in a variety of fields, with numerous biologically inspired applications. One of the fields, in which NCAs perform well is the generation of textures, modelling global patterns from local int
Externí odkaz:
http://arxiv.org/abs/2407.05991
We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. This model successfully extends the powerful capabilities of 2D segmentation models to 3D meshes, delivering accurate 3D segmentation across d
Externí odkaz:
http://arxiv.org/abs/2407.13675
Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible defects. Synthe
Externí odkaz:
http://arxiv.org/abs/2403.13439
Text-to-texture synthesis has become a new frontier in 3D content creation thanks to the recent advances in text-to-image models. Existing methods primarily adopt a combination of pretrained depth-aware diffusion and inpainting models, yet they exhib
Externí odkaz:
http://arxiv.org/abs/2403.11878
Mesh texture synthesis is a key component in the automatic generation of 3D content. Existing learning-based methods have drawbacks -- either by disregarding the shape manifold during texture generation or by requiring a large number of different vie
Externí odkaz:
http://arxiv.org/abs/2403.06855
We present Infinite Texture, a method for generating arbitrarily large texture images from a text prompt. Our approach fine-tunes a diffusion model on a single texture, and learns to embed that statistical distribution in the output domain of the mod
Externí odkaz:
http://arxiv.org/abs/2405.08210
Autor:
Natascha Jeziorski, Claudia Redenbach
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible defect
Externí odkaz:
https://doaj.org/article/1d63fa5da74842179e971b0daf22cd1d
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