Umělá inteligence v tvorbě obsahu pro 3D počítačovou grafiku

• Thesis title in Czech: Umělá inteligence v tvorbě obsahu pro 3D počítačovou grafiku
• Thesis title in English: Artificial intelligence in content creation for 3D computer graphics
• Key words: hluboké učení, neuronové sítě, počítačová grafika
• English key words: deep learning, neural networks, computer graphics
• Academic year of topic announcement: 2017/2018
• Thesis type: dissertation
• Thesis language: čeština
• Department: Department of Software and Computer Science Education (32-KSVI)
• Supervisor: doc. RNDr. Elena Šikudová, Ph.D.
• Author: hidden - assigned and confirmed by the Study Dept.
• Date of registration: 27.09.2018
• Date of assignment: 27.09.2018
• Confirmed by Study dept. on: 29.10.2018

Guidelines

As the computational power grows and rendering algorithms become more and more sophisticated, we are now able to display extremely large and complex environments. However, populating such environments with meaningful 3D data remains a tedious task. The objective of this thesis is to develop new approaches for content creation in 3D graphics leveraging recent advances in machine learning and computer vision.

References

E. Shelhamer, J. Long and T. Darrell, "Fully Convolutional Networks for Semantic Segmentation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 4, pp. 640-651, April 1 2017. doi: 10.1109/TPAMI.2016.2572683
https://arxiv.org/abs/1411.4038