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SIGGRAPH Asia 2023 · Rendering · 共 46 篇
  • A Micrograin BSDF Model for the Rendering of Porous Layers
  • Adaptive Recurrent Frame Prediction with Learnable Motion Vectors
  • Adaptive Shells for Efficient Neural Radiance Field Rendering
  • Amortizing Samples in Physics-Based Inverse Rendering Using ReSTIR
  • An Adaptive Fast-Multipole-Accelerated Hybrid Boundary Integral Equation Method for Accurate Diffusion Curves
  • An Architecture and Implementation of Real-Time Sound Propagation Hardware for Mobile Devices
  • Analysis and Synthesis of Digital Dyadic Sequences
  • ART-Owen Scrambling
  • BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
  • Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Two-Photon Neural Lithography Simulator
  • Compact Neural Graphics Primitives with Learned Hash Probing
  • Conditional Resampled Importance Sampling and ReSTIR
  • Curl Noise Jittering
  • Differentiable Rendering of Parametric Geometry
  • Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering
  • Doppler Time-of-Flight Rendering
  • DR-Occluder: Generating Occluders Using Differentiable Rendering
  • Efficient Graphics Representation with Differentiable Indirection
  • Efficient Visualization of Light Pollution for the Night Sky
  • Example-Based Sampling with Diffusion Models
  • Extended Path Space Manifolds for Physically Based Differentiable Rendering

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    Journal

    Adaptive Shells for Efficient Neural Radiance Field Rendering

    Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic

    NVIDIA

    SIGGRAPH Asia 2023RenderingNeural Radiance FieldsVolume RenderingAdaptive ShellsReal-Time RenderingNovel View Synthesis
    Paper
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