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SIGGRAPH Asia 2025 · 全部 301 篇
  • PAD3R: Pose-Aware Dynamic 3D Reconstruction from Casual Videos
  • PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion
  • PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
  • PartUV: Part-Based UV Unwrapping of 3D Meshes
  • Performance Analysis of Catch-Up Eye Movements in Visual Tracking
  • PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction
  • PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image
  • ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
  • PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models
  • PoissonNet: A Local-Global Approach for Learning on Surfaces
  • Potentially Visible Set Generation with the Disocclusion Buffer
  • PowerGS: Display-Rendering Power Co-Optimization for Neural Rendering in Power-Constrained XR Systems
  • Practical Gaussian Process Implicit Surfaces with Sparse Convolutions
  • PractiLight: Practical Light Control Using Foundational Diffusion Models
  • Precise Gradient Discontinuities in Neural Fields for Subspace Physics
  • Prior-Enhanced Gaussian Splatting for Dynamic Scene Reconstruction from Casual Video
  • PriorAvatar: Efficient and Robust Avatar Creation from Monocular Video Using Learned Priors
  • Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search
  • Progressive Outfit Assembly and Instantaneous Pose Transfer
  • Proteus-ID: ID-Consistent and Motion-Coherent Video Customization
  • QMF-Blend: Quantized Matrix Factorization for Efficient Blendshape Compression
Conference

Potentially Visible Set Generation with the Disocclusion Buffer

Sebastian Künzel, Sergej Geringer, Quynh Quang Ngo, Philip Voglreiter, Daniel Weiskopf, Dieter Schmalstieg

University of Stuttgart

SIGGRAPH Asia 2025RenderingPotentially Visible SetOcclusion CullingVisibility DeterminationReal-Time RenderingGPU
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