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SIGGRAPH Asia 2025 · Rendering · 共 55 篇
  • 3D SMoE Splatting for Edge-aware Realtime Radiance Field Rendering
  • A compact stochastic representation for Monte Carlo Path Traced images
  • AD-GS: Alternating Densification for Sparse-Input 3D Gaussian Splatting
  • Adaptive Neural Kernels for Gradient-domain Rendering
  • Anchored 4D Gaussian Splatting for Dynamic Novel View Synthesis
  • Automated design of compound lenses with discrete-continuous optimization
  • Automatic Sampling for Discontinuities in Differentiable Shaders
  • Capturing Non-Linear Human Perspective in Line Drawings
  • CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
  • Consecutive Frame Extrapolation with Predictive Sparse Shading
  • Designing and Fabricating Color BRDFs with Differentiable Wave Optics
  • Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction
  • Diffusion-Guided Relighting for Single-Image SVBRDF Estimation
  • DSCombiner: Double Shrinkage for Combining Biased and Unbiased Monte Carlo Renderings
  • Editable Physically-based Reflections in Raytraced Gaussian Radiance Fields
  • Evaluating and Sampling Glinty NDFs in Constant Time
  • Frame-Free Representation of Polarized Light for Resolving Stokes Vector Singularities
  • Gaussian Integral Linear Operators for Precomputed Graphics
  • Generalized Unbiased Reconstruction for Gradient-Domain Rendering
  • Glare Pattern Depiction: High-Fidelity Physical Computation and Physiologically-Inspired Visual Response
  • Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting

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    Conference

    A compact stochastic representation for Monte Carlo Path Traced images

    Matthias Sebastian Treder, Pavlos Makridis, Alexis Lechat, Jesus Zarzar, Marina Villanueva Barreiro, Roc Ramon Currius

    Sony Interactive Entertainment

    SIGGRAPH Asia 2025Rendering
    Monte Carlo RenderingPath TracingImage RepresentationStochastic SamplingRendering
    Paper
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