See the course's website here: https://noamaig.github.io/course_NGP.html
Neural Geometry Processing is an emerging field, stemming from the application of deep learning to 3D problems using Geometry Processing. Similarly to (non-neural) Geometry Processing, Neural Geometry Processing is indesciplinary and develops methods and theory using concepts from mathematical fields such as differential geometry and algebra, as well as algorithms from computational geometry and vision. This course aims to give the students the necessary tools to approach research in this field and make further excursions into it independetly.
Neural Geometry Processing is an emerging field, stemming from the application of deep learning to 3D problems using Geometry Processing. Similarly to (non-neural) Geometry Processing, Neural Geometry Processing is indesciplinary and develops methods and theory using concepts from mathematical fields such as differential geometry and algebra, as well as algorithms from computational geometry and vision. This course aims to give the students the necessary tools to approach research in this field and make further excursions into it independetly.
- Enseignant: Noam Aigerman