텍스트-3D 생성
한 문장으로 3D 모델을 만든다
이 페이지의 본문은 영어로 제공됩니다. 제목과 요약은 한국어로 번역되었습니다.
이 능력이 뜻하는 것
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.
기술적으로 구현하는 방법
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.
대표 제품
2관련 기관
대표적 용도
- Draft props and sets for games and film
- Quick 3D showcases for products
- Turning industrial concepts into physical form
- 3D illustration for education
성능을 평가하는 방법
- 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
경계와 난점
- 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