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SIGGRAPH Asia 2024 · Rendering · 共 55 篇
  • AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius
  • Appearance Modeling of Iridescent Feathers with Diverse Nanostructures
  • BSDF importance sampling using a diffusion model
  • Controlled Spectral Uplifting for Indirect-Light-Metamerism
  • Correlation-aware Encoder-Decoder with Adapters for SVBRDF Acquisition
  • DARTS: Diffusion Approximated Residual Time Sampling for Time-of-flight Rendering in Homogeneous Scattering Media
  • Differentiable Modeling of Material Spreading in Inkjet Printing for Appearance Prediction
  • Differentiable Owen Scrambling
  • Differentiable Photon Mapping using Generalized Path Gradients
  • Differential Walk on Spheres
  • Differentiating Variance for Variance-Aware Inverse Rendering
  • DifFRelight: Diffusion-Based Facial Performance Relighting
  • DirectL: Efficient Radiance Fields Rendering for 3D Light Field Displays
  • Dynamic Neural Radiosity with Multi-grid Decomposition
  • Efficient Image-Space Shape Splatting for Monte Carlo Rendering
  • Efficient Neural Path Guiding with 4D Modeling
  • EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars
  • EVSplitting: An Efficient and Visually Consistent Splitting Algorithm for 3D Gaussian Splatting
  • FaceMap: Distortion-Driven Perceptual Facial Saliency Maps
  • Filtering-Based Reconstruction for Gradient-Domain Rendering
  • GaussianHeads: End-to-End Learning of Drivable Gaussian Head Avatars from Coarse-to-fine Representations

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    Conference

    Differentiating Variance for Variance-Aware Inverse Rendering

    Kai Yan, Vincent Pegoraro, Marc Droske, Jiří Vorba, Shuang Zhao

    University of California, Irvine; Weta Digital; University of Illinois Urbana-Champaign

    SIGGRAPH Asia 2024Rendering
    Inverse RenderingDifferentiable RenderingMonte CarloVariance
    Paper
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