ACM Transactions on Graphics· 2018Q1
Differentiable Monte Carlo ray tracing through edge sampling
- 451citations
- Q1SCImago
- 2018year
Short summary
This paper introduces the first general-purpose differentiable Monte Carlo ray tracer capable of computing image gradients with respect to arbitrary scene parameters like camera pose, geometry, materials, and lighting.
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: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science