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SIGGRAPH Asia 2023 · Rendering · 共 46 篇
  • Example-Based Sampling with Diffusion Models
  • Extended Path Space Manifolds for Physically Based Differentiable Rendering
  • ExtraSS: A Framework for Joint Spatial Super Sampling and Frame Extrapolation
  • Fast-MSX: Fast Multiple Scattering Approximation
  • FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion
  • Inovis: Instant Novel-View Synthesis
  • Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising
  • Joint Sampling and Optimisation for Inverse Rendering
  • Locally-Adaptive Level-of-Detail for Hardware-Accelerated Ray Tracing
  • Manifold Path Guiding for Importance Sampling Specular Chains
  • MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs
  • MetaLayer: A Meta-Learned BSDF Model for Layered Materials
  • Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle
  • Neural Point-based Volumetric Avatar: Surface-guided Neural Points for Efficient and Photorealistic Volumetric Head Avatar
  • Nonlinear Ray Tracing for Displacement and Shell Mapping
  • OpenSVBRDF: A Database of Measured Spatially-Varying Reflectance
  • Perceptual error optimization for Monte Carlo animation rendering
  • Projective Sampling for Differentiable Rendering of Geometry
  • Quantum Ray Marching: Reformulating Light Transport for Quantum Computers
  • RMIP: Displacement ray tracing via inversion and oblong bounding
  • RT-Octree: Accelerate PlenOctree Rendering with Batched Regular Tracking and Neural Denoising for Real-time Neural Radiance Fields

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    Conference

    MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs

    Kunal Gupta, Milos Hasan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi

    Adobe Research; UC San Diego

    SIGGRAPH Asia 2023RenderingNeural Radiance FieldsMonte Carlo RenderingDenoisingReal-Time Rendering
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