Paper Notes
GitHub
SIGGRAPH 2026 · Rendering · 共 53 篇
  • Monte Carlo Rendering of Biharmonic Diffusion Curves
  • Multi-feature Radiance Baking Neural Networks for Instant Volumetric Rendering
  • Multi-Layer Reservoir Splatting for Temporal Reuse under Disocclusion
  • Neural Quadrature Rule and Autoregressive Adaptive Sampling
  • NILE: Nested Interleaving of Low-Dimensional Elements
  • Object-Space Analysis of Local Contrast Sensitivity for Hierarchical Representations of 3D Gaussians
  • Physics-Inspired Procedural Texturing of Extremely Deformable Surfaces
  • Probe-based Walk on Spheres for Efficient Path Reusing
  • PureSample: Neural Materials Learned by Sampling Microgeometry
  • Radiance Caching for Differentiable Path Tracing
  • Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings
  • Rao-Blackwellized Markov Chain Monte Carlo Light Transport
  • RCGP: Resource Contracts for Graphics Programming
  • Real-Time GPU Vector Graphics SDF Generation Based on Quadratic Stroke Rendering
  • Real-Time Level-of-Detail Rendering with ReSTIR
  • Real-Time Light-Field Path Tracing for 3D Displays via Sparse Spatial-Angular-Temporal Reconstruction
  • Robust Computation of Boundary Path Integrals Using Kernel-Density Estimation
  • Sample Matching for Joint Extinction Gradient Estimation in Differentiable Volume Rendering
  • SCom DAG: compact representation of spatial data for real-time rendering
  • SHARP-GS: Scalable High-fidelity Accelerated Rendering Pipeline for Ultra-high Resolution 3D Gaussian Splatting
  • Single-View Holographic Volumetric 3D Printing with Coupled Differentiable Wave-Optical and Photochemical Optimization

    从搜索结果或列表筛选点进论文后，这里会显示那一批结果。

    Conference

    Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

    Xianyao Zhang, Gerhard Röthlin, Tunç Ozan Aydın, Farnood Salehi, Marios Papas

    Disney Research

    SIGGRAPH 2026RenderingMonte Carlo DenoisingDeep ImagesNeighborhood AttentionSpatiotemporal DenoisingNeural Network
    Paper
    This note has no summary yet.