テキストから 3D 生成
一文から三次元モデルを生成する
本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。
この能力とは何か
Takes a text description and outputs a 3D asset: a mesh, a textured model or a renderable 3D representation. The output is neither an image nor a video but geometry that can be viewed from any angle and placed in a scene. Unlike image-to-3D it has no reference image at all, and unlike text-to-image its output carries a genuine third dimension.
技術的にどう実現するか
One route uses 2D generative models as supervision: a 2D diffusion model scores renderings from many viewpoints and that score optimises a 3D representation such as a neural radiance field or a Gaussian splat — score distillation. Another route trains a generator directly on large 3D datasets and emits mesh and texture in one or several steps. Output meshes often need retopology and decimation before entering standard rendering or game pipelines.
代表的な製品
2関連する組織
代表的な用途
- Draft props and sets for games and film
- Quick 3D showcases for products
- Turning industrial concepts into physical form
- 3D illustration for education
どう評価するか
- CLIP similarity
- Semantic agreement between rendered views and the prompt
- Chamfer distance
- Mean surface-point distance between generated and reference meshes
- Human rating
- Ratings for shape completeness and texture quality
限界と難しさ
- Generated meshes often come out as fragmented triangles and need heavy retopology before use
- Backfaces and interiors are guessed, producing hollows and intersections when you orbit the model
- Material, lighting and geometry are not properly separated, so the look breaks when exported to another engine