Results 11 to 20 of about 1,100,408 (397)

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples [PDF]

International Conference on Machine Learning, 2023
Recently, Diffusion Models (DMs) boost a wave in AI for Art yet raise new copyright concerns, where infringers benefit from using unauthorized paintings to train DMs to generate novel paintings in a similar style.
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan   +8 more
semanticscholar   +1 more source

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region [PDF]

ACM Multimedia, 2023
Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundary inconsistency artifacts.
Teng Hu, Ran Yi, Haokun Zhu, Liang Liu, Jinlong Peng, Yabiao Wang, Chengjie Wang, Lizhuang Ma   +7 more
semanticscholar   +1 more source

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [PDF]

IEEE International Conference on Computer Vision, 2021
Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks.
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Rui Deng, Xin Li, Errui Ding, Hao Wang   +7 more
semanticscholar   +1 more source

Painting a portrait of the Galactic disc with its stellar clusters [PDF]

Astronomy & Astrophysics, 2020
Context.The large astrometric and photometric survey performed by theGaiamission allows for a panoptic view of the Galactic disc and its stellar cluster population.
T. Cantat-Gaudin, F. Anders, A. Castro-Ginard, C. Jordi, M. Romero-Gómez, C. Soubiran, L. Casamiquela, Y. Tarricq, A. Moitinho, A. Vallenari, A. Bragaglia, A. Krone-Martins, M. Kounkel   +12 more
semanticscholar   +1 more source

JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations

bioRxiv, 2023
Image-based profiling has emerged as a powerful technology for various steps in basic biological and pharmaceutical discovery, but the community has lacked a large, public reference set of data from chemical and genetic perturbations.
S. Chandrasekaran, Jeanelle Ackerman, Eric Alix, D. Ando, John Arevalo, Melissa Bennion, Nicolas Boisseau, Adriana Borowa, Justin D. Boyd, L. Brino, Patrick J. Byrne, H. Ceulemans, C. Ch'ng, B. Cimini, Djork-Arné Clevert, N. Deflaux, John G Doench, Thierry Dorval, R. Doyonnas, Vincenza Dragone, O. Engkvist, Patrick W. Faloon, Briana Fritchman, Florian Fuchs, S. Garg, Tamara Gilbert, David Glazer, D. Gnutt, A. Goodale, Jeremy Grignard, J. Guenther, Yu Han, Zahra Hanifehlou, S. Hariharan, Desiree Hernandez, S. R. Horman, Gisela Hormel, Michael Huntley, Ilknur Icke, Makiyo Iida, Christina B. Jacob, Steffen Jaensch, Jawahar Khetan, M. Kost-Alimova, T. Krawiec, Daniel Kuhn, Charles-Hugues Lardeau, Amanda Lembke, Francis Lin, Kevin D. Little, Kenneth R. Lofstrom, Sofia Lotfi, David J. Logan, Yi Luo, Franck Madoux, P. A. Marin Zapata, Brittany A. Marion, Glynn Martin, N. McCarthy, Lewis H. Mervin, Lisa Miller, Haseeb Mohamed, Tiziana Monteverde, E. Mouchet, B. Nicke, Arnaud Ogier, Anne-Laure Ong, M. Osterland, M. Otrocka, P. Peeters, J. Pilling, S. Prechtl, Chen Qian, Krzysztof Rataj, D. Root, S. Sakata, Simon F. Scrace, H. Shimizu, David Simon, Peter Sommer, Craig Spruiell, Iffat Sumia, Susanne E. Swalley, H. Terauchi, A. Thibaudeau, A. Unruh, Jelle Van de Waeter, M. Van Dyck, Carlo van Staden, M. Warchoł, Erin Weisbart, Amélie Weiss, Nicolas Wiest-Daesslé, Guy B. Williams, Shan Yu, Bolek Zapiec, M. Żyła, Shantanu Singh, Anne E Carpenter   +98 more
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Optimizing the Cell Painting assay for image-based profiling

bioRxiv, 2022
In image-based profiling, software extracts thousands of morphological features of cells from multi-channel fluorescence microscopy images, yielding single-cell profiles that can be used for basic research and drug discovery.
B. Cimini, S. Chandrasekaran, M. Kost-Alimova, Lisa Miller, A. Goodale, Briana Fritchman, Patrick J. Byrne, S. Garg, Nasim Jamali, David J. Logan, J. Concannon, Charles-Hugues Lardeau, E. Mouchet, Shantanu Singh, H. Abbasi, Peter Aspesi, Justin D. Boyd, Tamara Gilbert, D. Gnutt, S. Hariharan, Desiree Hernandez, Gisela Hormel, Karolina Juhani, Michelle Melanson, Lewis H. Mervin, Tiziana Monteverde, J. Pilling, Adam Skepner, Susanne E. Swalley, Anita Vrcic, Erin Weisbart, Guy B. Williams, Shan Yu, Bolek Zapiec, Anne E Carpenter   +34 more
semanticscholar   +1 more source

Stylized Neural Painting [PDF]

Computer Vision and Pattern Recognition, 2020
This paper proposes an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles. Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction,
Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi University of Michigan, A. Arbor, NetEase Fuxi AI Lab, B. University   +7 more
semanticscholar   +1 more source

Generating Optimized Trajectories for Robotic Spray Painting

IEEE Transactions on Automation Science and Engineering, 2022
In the manufacturing industry, spray painting is often an important part of the manufacturing process. Especially in the automotive industry, the perceived quality of the final product is closely linked to the exactness and smoothness of the painting ...
D. Gleeson, S. Jakobsson, Raad Salman, Fredrik Ekstedt, Niklas Sandgren, F. Edelvik, J. Carlson, B. Lennartson   +7 more
semanticscholar   +1 more source

An Algorithm for Painting Large Objects Based on a Nine-Axis UR5 Robotic Manipulator

Applied Sciences, 2022
An algorithm for automatically planning trajectories designed for painting large objects is proposed in this paper to eliminate the difficulty of painting large objects and ensure their surface quality.
Jun Wang, Mingquan Yang, Fei Liang, Kangrui Feng, Kai Zhang, Quan Wang   +5 more
semanticscholar   +1 more source

Virtual Reality in Vocational Training: A Study Demonstrating the Potential of a VR-based Vehicle Painting Simulator for Skills Acquisition in Apprenticeship Training

Technology, Knowledge and Learning, 2022
Previous studies on Virtual Reality (VR)-enriched learning pointed out the advantages of immersive learning for the development of competencies. In the context of vocational education in vehicle painting, training opportunities are severely limited for ...
Miriam Mulders, J. Buchner, M. Kerres
semanticscholar   +1 more source