ACM Transactions on Graphics· 2019Q1
Dynamic Graph CNN for Learning on Point Clouds
- 6,795citations
- Q1SCImago
- 2019year
Short summary
A new neural network module, EdgeConv, is introduced for processing 3D point cloud data, dynamically computing graph structures in each layer to capture local neighborhood information and learn global shape properties.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Computational Mechanics
Computational MechanicsEngineering