Real-Time Level-of-Detail Rendering with ReSTIR
- Auto-discovered
Yu-Chen Wang, Markus Kettunen, Daqi Lin, Chris Wyman, Shuang Zhao
Visit resource ↗Description
Real-Time Level-of-Detail Rendering with ReSTIR is Yu-Chen Wang, Markus Kettunen, Daqi Lin, Chris Wyman, and Shuang Zhao's SIGGRAPH 2026 NVIDIA RTR paper on ReSTIR under geometric LOD switches.
A surface point mapping keeps spatiotemporal reuse valid when mesh topology changes between frames on complex LOD scenes.
Engineers shipping ReSTIR lighting should know reservoirs, motion vectors, and hierarchical mesh LOD.
The NVIDIA RTR page links the PDF and bibliographic entry.
Link last verified accessible on 2026-09-27.
Related resources
- Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering
Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering presents anisotropic Gabor kernels as an alternative to Gaussian primitives for volumetric path tracing,…
100% match · <code><advanced><paper><accessible><detail><last><level><link> - Differentiable Voronoi Ray Tracing Beyond Rasterization Speeds
Differentiable Voronoi Ray Tracing Beyond Rasterization Speeds.
100% match · <code><optimization><advanced><paper><accessible><last><link><quality> - Occlusion-Point Reuse for Ray-Traced Ambient Occlusion and Shadow
Occlusion-Point Reuse for Ray-Traced Ambient Occlusion and Shadow is a paper by Haojie Jin, Fujia Su, Zehui Lin, Chenxiao Hu, Jierui Ren, Yuqing Yuan, Yanchen Zhang, Zhongtao…
100% match · <code><optimization><advanced><paper><lin><wang><accessible><last> - High-Performance Real-Time Implicit Strand-Based Hair Rendering via Software Rasterization
High-Performance Real-Time Implicit Strand-Based Hair Rendering via Software Rasterization presents a deferred software rasterization pipeline for real-time strand-based hair…
100% match · <code><optimization><advanced><paper><accessible><last><link><lod> - Memory-Efficient BVHs with Merged Nodes for Hardware Ray Tracing
Memory-Efficient BVHs with Merged Nodes for Hardware Ray Tracing.
100% match · <code><optimization><advanced><paper><accessible><last><link><presents> - Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization.
100% match · <code><optimization><advanced><paper><wang><accessible><last><link> - Neural Texture Compression using Hypernetworks
Neural Texture Compression using Hypernetworks.
100% match · <code><advanced><paper><accessible><last><link><quality><reports> - Reconstructing Physically Stable 3D Scenes from a Single Image
Reconstructing Physically Stable 3D Scenes from a Single Image is a single research paper with a public REST3D project site, code release, and demo videos.
100% match · <code><advanced><paper><wang><accessible><last><link><mesh> - Dual Contouring of Signed Distance Data
Dual Contouring of Signed Distance Data is a SIGGRAPH 2026 paper with a Columbia Graphics project page linking the PDF, source, and talk materials.
100% match · <code><advanced><paper><wang><accessible><last><link><mesh> - A real time lighting technique for procedurally generated 2d isometric game terrains
A real time lighting technique for procedurally generated 2d isometric game terrains proposes automatic real-time lighting for seed-generated isometric maps by estimating 2D…
100% match · <code><advanced><paper><accessible><across><last><link><real> - Gaussian Point Splatting
Gaussian Point Splatting proposes a stochastic method for rendering massive 3D Gaussian Splatting scenes by sampling pixel-sized opaque points from Gaussians, splatting via…
100% match · <code><optimization><advanced><paper><accessible><last><link><point> - Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction
Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction augments each 3D Gaussian with a lightweight MLP that models…
100% match · <code><advanced><paper><accessible><last><link><reports><scenes> - Parallelised Differentiable Straightest Geodesics for 3D Meshes
Parallelised Differentiable Straightest Geodesics for 3D Meshes presents a CIRCLE Group Imperial College London CVPR 2026 paper by Hippolyte Verninas, Caner Korkmaz, Stefanos…
100% match · <code><advanced><paper><accessible><geometric><last><link><mesh> - MeshSplatting: Differentiable Rendering with Opaque Meshes
MeshSplatting: Differentiable Rendering with Opaque Meshes presents a mesh-based novel view synthesis method by Jan Held and collaborators that jointly optimizes geometry and…
100% match · <code><advanced><paper><lin><accessible><last><link><mesh> - Sample Space Partitioning and Spatiotemporal Resampling for Specular Manifold Sampling
Sample Space Partitioning and Spatiotemporal Resampling for Specular Manifold Sampling presents a Utah Graphics Lab method by Pengpei Hong, Meng Duan, Beibei Wang, Cem Yuksel,…
100% match · <code><advanced><paper><lin><wang><accessible><last><link> - Implicit Position-Based Fluids (IPBF)
Implicit Position-Based Fluids (IPBF) presents a Utah Graphics Lab incompressible SPH method by Elie Diaz, Jerry Hsu, Eisen Montalvo-Ruiz, Chris Giles, and Cem Yuksel that uses…
100% match · <code><advanced><paper><accessible><last><link><presents><reports> - GSWT: Gaussian Splatting Wang Tiles
GSWT: Gaussian Splatting Wang Tiles presents a SIGGRAPH Asia 2025 method by Yunfan Zeng, Li Ma, and Pedro V.
100% match · <code><advanced><paper><accessible><last><link><lod><presents> - CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization presents a training-free multi-agent workflow for CUDA kernel generation and optimization by…
100% match · <code><optimization><advanced><paper><wang><accessible><last><link> - Practically Utilizing Neural Networks in CPU-based Production Rendering
Practically Utilizing Neural Networks in CPU-based Production Rendering presents a Journal of Computer Graphics Techniques paper by Steve Bako, Ryusuke Villemin, and Magnus…
100% match · <code><optimization><advanced><paper><accessible><last><link><presents> - Optimizing spatiotemporal variance-guided filtering for modern GPU architectures
Optimizing spatiotemporal variance-guided filtering for modern GPU architectures.
100% match · <code><optimization><advanced><paper><accessible><across><last><link>