Efficient Scene Appearance Aggregation for Level-of-Detail Rendering

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Zhou, Yang, Huang, Tao, Ramamoorthi, Ravi, Sen, Pradeep, Yan, Ling-Qi
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910624860078080
author Zhou, Yang
Huang, Tao
Ramamoorthi, Ravi
Sen, Pradeep
Yan, Ling-Qi
author_facet Zhou, Yang
Huang, Tao
Ramamoorthi, Ravi
Sen, Pradeep
Yan, Ling-Qi
contents Creating an appearance-preserving level-of-detail (LoD) representation for arbitrary 3D scenes is a challenging problem. The appearance of a scene is an intricate combination of both geometry and material models, and is further complicated by correlation due to the spatial configuration of scene elements. We present a novel volumetric representation for the aggregated appearance of complex scenes and an efficient pipeline for LoD generation and rendering. The core of our representation is the Aggregated Bidirectional Scattering Distribution Function (ABSDF) that summarizes the far-field appearance of all surfaces inside a voxel. We propose a closed-form factorization of the ABSDF that accounts for spatially varying and orientation-varying material parameters. We tackle the challenge of capturing the correlation existing locally within a voxel and globally across different parts of the scene. Our method faithfully reproduces appearance and achieves higher quality than existing scene filtering methods while being inherently efficient to render. The memory footprint and rendering cost of our representation are independent of the original scene complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2409_03761
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Efficient Scene Appearance Aggregation for Level-of-Detail Rendering
Zhou, Yang
Huang, Tao
Ramamoorthi, Ravi
Sen, Pradeep
Yan, Ling-Qi
Graphics
Computer Vision and Pattern Recognition
Creating an appearance-preserving level-of-detail (LoD) representation for arbitrary 3D scenes is a challenging problem. The appearance of a scene is an intricate combination of both geometry and material models, and is further complicated by correlation due to the spatial configuration of scene elements. We present a novel volumetric representation for the aggregated appearance of complex scenes and an efficient pipeline for LoD generation and rendering. The core of our representation is the Aggregated Bidirectional Scattering Distribution Function (ABSDF) that summarizes the far-field appearance of all surfaces inside a voxel. We propose a closed-form factorization of the ABSDF that accounts for spatially varying and orientation-varying material parameters. We tackle the challenge of capturing the correlation existing locally within a voxel and globally across different parts of the scene. Our method faithfully reproduces appearance and achieves higher quality than existing scene filtering methods while being inherently efficient to render. The memory footprint and rendering cost of our representation are independent of the original scene complexity.
title Efficient Scene Appearance Aggregation for Level-of-Detail Rendering
topic Graphics
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2409.03761