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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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    Conference

    Adaptive Recurrent Frame Prediction with Learnable Motion Vectors

    Zhizhen Wu, Chenyu Zuo, Yuchi Huo, Yazhen Yuan, Yifan Peng, Guiyang Pu, Rui Wang, Hujun Bao

    Zhejiang University

    SIGGRAPH Asia 2023RenderingFrame PredictionMotion VectorReal-Time RenderingNeural NetworkSuper-Resolution
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