DigitalFUTURES Tutorial: Generative Game

19 February at 9:00am EST / 3:00pm CET / 10:00 pm China

In this tutorial session, we will be covering deep generative models - especially 3D deep learning models and examine their use in the context of shape synthesis. More specifically, we will cover topics such as how to gather and wrangle data for 3DGAN training, how to perform a local training with Docker, how to run inference on 3DGAN and last but not least how inference-generated models from 3DGAN can be further post-processed and visualized via shaders and other Computer Graphics technologies.

Instructor: Runjia Tian
Language: English

Tutorial will focus on:
- Gather and wrangle a 3D dataset for 3D Deep Learning
- Use docker to train a 3D deep generative models in local environment
- Visualize point cloud/voxel data in Rhino-Grasshopper
- Basic understanding of computer graphics pipeline, shader programming with GHGL
- Use GitHub and docker for CI/CD

Registration Link

LIMITED SEATS !! Registration does not guarantee a seat in zoom.

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Could we have access to the Google Drive folder that the speaker shared?