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SIGGRAPH Asia 2024 · Rendering · 共 55 篇
  • Hierarchical Light Sampling with Accurate Spherical Gaussian Lighting
  • High-Throughput Batch Rendering for Embodied AI
  • InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity
  • Inverse Rendering for Tomographic Volumetric Additive Manufacturing
  • LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives
  • Local Gaussian Density Mixtures for Unstructured Lumigraph Rendering
  • Markov-Chain Monte Carlo Sampling of Visibility Boundaries for Differentiable Rendering
  • MARS: Multi-sample Allocation through Russian roulette and Splitting
  • NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections
  • Neural Global Illumination via Superposed Deformable Feature Fields
  • Neural Kernel Regression for Consistent Monte Carlo Denoising
  • Neural Product Importance Sampling via Warp Composition
  • NFPLight: Deep SVBRDF Estimation via the Combination of Near and Far Field Point Lighting
  • NPGA: Neural Parametric Gaussian Avatars
  • OLAT Gaussians for Generic Relightable Appearance Acquisition
  • Online Neural Denoising with Cross-Regression for Interactive Rendering
  • Planar Reflection-Aware Neural Radiance Fields
  • Polarimetric BSSRDF Acquisition of Dynamic Faces
  • Quark: Real-time, High-resolution, and General Neural View Synthesis
  • Representing Long Volumetric Video with Temporal Gaussian Hierarchy
  • Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation

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    Journal

    Neural Kernel Regression for Consistent Monte Carlo Denoising

    Pengju Qiao, Qi Wang, Yuchi Huo, Shiji Zhai, Zixuan Xie, Wei Hua, Hujun Bao, Tao Liu

    Zhejiang University

    SIGGRAPH Asia 2024Rendering
    Monte Carlo DenoisingKernel RegressionRenderingConsistencyNeural Network
    Paper
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