Temporal Set Inversion for Animated Implicits
Kavosh Jazar, Paul G. Kry
摘要
We exploit the temporal coherence of closed-form animated implicit surfaces by locally re-evaluating an octree-like discretization of the implicit field only as and where is necessary to rigorously maintain a global error invariant over time, thereby saving resources in static or slowly-evolving areas far from the motion where per-frame updates are not necessary. We treat implicit surface rendering as a special case of the continuous constraint satisfaction problem of set inversion, which seeks preimages of arbitrary sets under vector-valued functions. From this perspective, we formalize a temporally-coherent set inversion algorithm that localizes changes in the field by range-bounding its time derivatives using interval arithmetic. We implement our algorithm on the GPU using persistent thread scheduling and apply it to the scalar case of implicit surface and swept volume rendering where we achieve significant speedups in complex scenes with localized deformations like those found in games and modelling applications where interactivity is required and bounded-error approximation is acceptable.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- Massively parallel rendering of complex closed-form implicit surfacesMatthew KeeterSIGGRAPH 2020 · 被引用 29 次
- AGIPC: Adaptive In-Solve Algebraic Coarsening for GPU IPCXuan Wang, Zhaofeng Luo, Minchen Li, Taku Komura 等SIGGRAPH 2026
- Ray Tracing Structured AMR Data Using ExaBricksIngo Wald, Stefan Zellmann, Will Usher, Nate Morrical 等IEEE VIS 2020 · 被引用 18 次
- Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysisNicholas Sharp, Alec JacobsonSIGGRAPH 2022 · 被引用 45 次
- Parameter-space ReSTIR for Differentiable and Inverse RenderingWesley Chang, Venkataram Sivaram, Derek Nowrouzezahrai, Toshiya Hachisuka 等SIGGRAPH 2023 · 被引用 20 次
