{
  "field_id": "F000",
  "field": "3d generative modeling",
  "directions": [
    {
      "direction_id": "G0",
      "name": "Static 3D object synthesis",
      "scope": "Create static 3D objects using generative priors and text, image, sketch, or geometric conditions. This includes per-prompt optimization, directly learning and sampling shape distributions, generating views and then fusing them into assets, controllable part structures, shape generation under visual or geometric constraints, and amortized direct generation."
    },
    {
      "direction_id": "G1",
      "name": "Observation-grounded 3D recovery and completion",
      "scope": "Use generative priors to infer unseen content from subject images or incomplete 3D or scene observations while remaining consistent with the available evidence. This includes recovering a subject’s geometry and appearance from a single image, and completing partial shapes, occluded scenes, sparse-view scenes, or observed scenes through extrapolation."
    },
    {
      "direction_id": "G2",
      "name": "View-consistent generative imagery",
      "scope": "Generate images that are coherent across viewpoints, and develop or adapt 3D-aware models that support this capability. This includes learning reusable renderable distributions from image collections, synthesizing consistent novel views for specified viewpoints, and adapting existing 3D-aware generators to new visual domains."
    },
    {
      "direction_id": "G3",
      "name": "Modification and appearance of existing 3D content",
      "scope": "Modify specified content or provide coherent appearance for an existing 3D representation or supplied geometry under given controls. This includes editing attributes or regions of existing assets, scenes, or generative representations, and generating textures and surface appearance for existing shapes."
    },
    {
      "direction_id": "G4",
      "name": "3D scene and environment synthesis",
      "scope": "Generate 3D scenes composed of spatial content. This includes compositional scenes centered on object layouts, semantic relationships, and interactions, as well as environments centered on large-scale generation, spatial expansion, and coherence as content extends."
    },
    {
      "direction_id": "G5",
      "name": "Generative human and head avatars",
      "scope": "Generate 3D human assets with credible body or head-and-face form, appearance, and controllability. This includes animatable whole-body humans, body-associated garments that can be controlled separately, controllable face generation, and complete or highly detailed head synthesis."
    },
    {
      "direction_id": "G6",
      "name": "Dynamic 3D and 4D generation",
      "scope": "Generate time-varying 3D content viewable from different viewpoints, with temporal consistency in motion, geometry, or appearance. This includes dynamic assets, scenes, and 3D facial performances."
    }
  ]
}