Gaussian Material Synthesis
In the search of higher level AI utilization in computer graphic field, GMS(Gaussian Material Synthesis) teaches AI the concept of various materials and the newly synthesized materials can be visualized in real-time via neural rendering. The website below provides the video, thesis and trained AI data, which are all with permissive license to use. I believe this will be a good topic for the couse in this term.
For overview, this tech is applied as an addon for Blender and the workflow shows like:
1. The user is presented with a gallery and asked to assign scores to the shown materials.
2. After choosing a threshold value to control the variability of the output, a set of recommendations
are computed and visualized via neural rendering.
I'm going to make it work on my computer first, but I'm not sure if this could be the full content for this term. Or should I build up something new upon it? For the longer purpose, I wonder if it's doable in unity as well.
https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/
Update on 4/12/2020
I started to install all the sources that are needed for the project, while I met many problems on pareparation even it's at the very beginning. According to the instruction, Python envrionment and a few extra package are required, but not all these package are friendly compatible to windows system. I searched some resolutions and they are based on very skillful python coding ability, I have to back to the start point and learn the basic using approach first. The issues remained are:
1. Package climi and GPy installation for python environment
https://github.com/SheffieldML/GPy/issues/649 (resolution for Gpy )
???? (climin)
2. https://blender.stackexchange.com/a/51800 (link the anaconda environment to Blender)
3. issues may happen
Error when importing numpy, see here: https://stackoverflow.com/a/56009839
Error when importing keras/GPy, see here: https://stackoverflow.com/a/19105436
For overview, this tech is applied as an addon for Blender and the workflow shows like:
1. The user is presented with a gallery and asked to assign scores to the shown materials.
2. After choosing a threshold value to control the variability of the output, a set of recommendations
are computed and visualized via neural rendering.
I'm going to make it work on my computer first, but I'm not sure if this could be the full content for this term. Or should I build up something new upon it? For the longer purpose, I wonder if it's doable in unity as well.
https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/
Update on 4/12/2020
I started to install all the sources that are needed for the project, while I met many problems on pareparation even it's at the very beginning. According to the instruction, Python envrionment and a few extra package are required, but not all these package are friendly compatible to windows system. I searched some resolutions and they are based on very skillful python coding ability, I have to back to the start point and learn the basic using approach first. The issues remained are:
1. Package climi and GPy installation for python environment
https://github.com/SheffieldML/GPy/issues/649 (resolution for Gpy )
???? (climin)
2. https://blender.stackexchange.com/a/51800 (link the anaconda environment to Blender)
3. issues may happen
Error when importing numpy, see here: https://stackoverflow.com/a/56009839
Error when importing keras/GPy, see here: https://stackoverflow.com/a/19105436
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