Results 301 to 310 of about 1,874,615 (320)

Text2Tex: Text-driven Texture Synthesis via Diffusion Models

IEEE International Conference on Computer Vision, 2023
We present Text2Tex, a novel method for generating high-quality textures for 3D meshes from the given text prompts. Our method incorporates inpainting into a pre-trained depth-aware image diffusion model to progressively synthesize high resolution ...
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, S. Tulyakov, M. Nießner   +4 more
semanticscholar   +1 more source

3D-FUTURE: 3D Furniture Shape with TextURE

International Journal of Computer Vision, 2020
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textures, making them less attractive for comprehensive and subtle research in ...
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, S. Maybank, D. Tao   +6 more
semanticscholar   +1 more source

Texture Analysis

Handbook of Image Processing and Computer Vision, 2018
Chip manufacturing company moves from Al interconnects into Cu-based technology. Now the task is to establish proper conditions for the Cu film growth on Si.
A. Distante, C. Distante
semanticscholar   +1 more source

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

European Conference on Computer Vision, 2016
This paper proposes Markovian Generative Adversarial Networks (MGANs), a method for training generative networks for efficient texture synthesis. While deep neural network approaches have recently demonstrated remarkable results in terms of synthesis ...
Chuan Li, Michael Wand
semanticscholar   +1 more source

Infrared and Visible Image Fusion via Texture Conditional Generative Adversarial Network

IEEE transactions on circuits and systems for video technology (Print), 2021
This paper proposes an effective infrared and visible image fusion method based on a texture conditional generative adversarial network (TC-GAN). The constructed TC-GAN generates a combined texture map for capturing gradient changes in image fusion.
Yong Yang, Jiaxiang Liu, Shuying Huang, Weiguo Wan, Wenying Wen, Juwei Guan   +5 more
semanticscholar   +1 more source

How Maillard Reaction Influences Sensorial Properties (Color, Flavor and Texture) of Food Products?

Food reviews international (Print), 2019
Maillard reaction products are largely responsible for the development of color, taste and especially aroma of thermally treated food. For this reason, our review focused on gathering literature from the last 10 years about the influence of the Maillard ...
Małgorzata Starowicz, H. Zieliński
semanticscholar   +1 more source

Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
T. Ojala, M. Pietikäinen, Topi Mäenpää   +2 more
semanticscholar   +1 more source

A comparative study of texture measures with classification based on featured distributions

Pattern Recognition, 1996
T. Ojala, M. Pietikäinen, David Harwood
semanticscholar   +1 more source

Texture Features for Browsing and Retrieval of Image Data

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
B. S. Manjunath, Wei-Ying Ma
semanticscholar   +1 more source