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SIGGRAPH Asia 2023 · Neural & Generative · 共 30 篇
  • EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
  • Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
  • GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations
  • HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
  • IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
  • Interactive Story Visualization with Multiple Characters
  • Learning Gradient Fields for Scalable and Generalizable Irregular Packing
  • MatFusion: A Generative Diffusion Model for SVBRDF Capture
  • MyStyle++: A Controllable Personalized Generative Prior
  • Neural Field Convolutions by Repeated Differentiation
  • Neural Packing: from Visual Sensing to Reinforcement Learning
  • ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models
  • Repurposing Diffusion Inpainters for Novel View Synthesis
  • Scene-Aware Activity Program Generation with Language Guidance
  • ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering
  • Text-Guided Synthesis of Eulerian Cinemagraphs
  • Text-Guided Vector Graphics Customization

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    Journal

    Neural Packing: from Visual Sensing to Reinforcement Learning

    Juzhan Xu, Minglun Gong, Hao Zhang, Hui Huang, Ruizhen Hu

    Shenzhen University; University of Guelph; Simon Fraser University

    SIGGRAPH Asia 2023Neural & GenerativeReinforcement LearningBin PackingVisual SensingRobotic ManipulationNeural Network
    Paper
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