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SIGGRAPH 2026 · Neural & Generative · 共 69 篇
  • HumanFlow: Controllable Human Image Generation via Flow Matching
  • Img2CADSeq: Image-to-CAD Generation via Sequence-Based Diffusion
  • InfiniteDiffusion: Bridging Learned Fidelity and Procedural Utility for Open-World Terrain Generation
  • Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration
  • Learning Sewing Patterns via Latent Flow Matching of Implicit Fields
  • MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
  • Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes
  • MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and Generation
  • MeshFlow: Mesh Generation with Equivariant Flow Matching
  • Motion4Motion: Motion Transfer Across Subjects at Inference
  • Multi-Agent CAD Code Generation
  • MV-S2V: Multi-View Subject-Consistent Video Generation
  • Neural Cellular Automata: From Cells to Pixels
  • Neural Particle Automata: Learning Self-Organizing Particle Dynamics
  • Nexus: Native Mesh Generation with Diffusion
  • OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation
  • On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
  • PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
  • PEGAsus: 3D Personalization of Geometry and Appearance
  • Pixal3D: Pixel-Aligned 3D Generation from Images
  • PixTex: Consistent 3D Texturing via Pixel-Space Multi-View Diffusion

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    Conference

    Multi-Agent CAD Code Generation

    Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng

    Nanyang Technological University

    SIGGRAPH 2026Neural & GenerativeCAD GenerationMulti-Agent SystemLarge Language ModelCode GenerationParametric ModelingCadQuery
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