Level Of Detail For 3d Graphics

By Marina Daecher. 2016

363 citations recorded by the source corpus.

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

Citations in the corpus

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding (2020, background): “These meshes cannot be rendered at interactive rates, even on modern GPUs, without the use of advanced acceleration structures [5, 35, 50].”
Playing for Benchmarks (2017, background): “Due to camera motion, meshes may be replaced by versions at different levels of detail, which can change the mesh, segment ID, and position associated with the same object in consecutive frames [37].”
FastNeRF: High-Fidelity Neural Rendering at 200FPS (2021, background): “This is similar to how different levels of detail are used in computer graphics [21], and an important innovation on the path towards neurally rendered worlds.”
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering (2021, background): “[34] proposed to represent implicit surfaces using an octree-based feature volume which adaptively fits shapes with multiple discrete LODs.”
An improved LOD specification for 3D building models (2016, background): “0 has been borrowed from computer graphics in which multiple representations of polygon meshes are differentiated by their number of faces, and their simplification is performed by algorithms that reduce the number of faces while attempting to retain visual fidelity (Luebke et al., 2003; Clark, 1976”
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (2021, background): “Level of Detail (LOD) [27] in computer graphics refers to 3D shapes that are filtered to limit feature variations, usually to approximately twice the pixel size in image space.”