Real-Time Rendering

By T. Akenine-Möller, E. Haines, Naty Hoffman, A. Pesce, Michał Iwanicki, Sébastien Hillaire. 2018

Subfields: Computer Graphics and Computer-Aided Design

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Vladlen Koltun
2. Stefan Roth
3. Nathan Paczan
4. Mike Roberts
5. Stephan R. Richter
6. Leonidas J. Guibas
7. Siddhartha Chaudhuri
8. Andreas Geiger

Citations in the corpus

• Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding (2020, methodology): “large (i.e., millions of triangles) and incoherently laid out in memory. These meshes cannot be rendered at interactive rates, even on modern GPUs, without the use of advanced acceleration structures [4,33,47]. In our tool, we address this issue by including an option to decimate the input mesh, whi”
• Playing for Data: Ground Truth from Computer Games (2016, methodology): “quisition A brief introduction to real-time rendering. To present our approach to data acquisition, we rst need to review some relevant aspects of the rendering pipeline used in modern computer games [2]. Modern real-time rendering systems are commonly based on deferred shading. Geometric resources ”
• Playing for Benchmarks (2017, neutral): “ildsonfairlydetailedunderstandingofrealtime rendering. We provide an introductory overview of real-time rendering pipelines in the supplement and refer thereadertoacomprehensivereferenceformoredetails[2]. Slicingshaders. Tocaptureresourcesatvideorate,weaugmentthegame'sshaderswithadditionalinput”