가이드 연계 퀴즈 · 중간 레벨

건축 및 디자인 퀴즈의 AI

생성적 설계 제약 조건, 확산 렌더링, BIM 데이터, 시뮬레이션 기반 최적화 및 개념 이미지의 한계를 검토합니다.

관련 가이드 경로건축과 디자인의 AI
질문 1 의 8

건축에서 제너레이티브 디자인의 핵심 아이디어는 무엇입니까?

모든 질문 미리보기8 질문

퀴즈를 풀면 정답과 설명이 나타납니다.

  1. 건축에서 제너레이티브 디자인의 핵심 아이디어는 무엇입니까?
    • Define goals and constraints, then generate and evaluate design alternatives
    • Copy an existing landmark exactly
    • Let AI approve building permits
    • Replace all architectural judgment
  2. Which model family does the cited latent-diffusion paper describe for image synthesis?
    • A spreadsheet optimizer
    • Diffusion models that iteratively denoise a latent representation
    • A hard-hat detector
    • A pronunciation aligner
  3. Why can a photorealistic AI rendering still be unsuitable as a construction plan?
    • It is always black and white
    • It cannot contain pixels
    • It may show appearance without validated geometry or engineering constraints
    • It automatically includes verified permits
  4. What does BIM stand for in this context?
    • Building Image Matching
    • Basic Interior Measurement
    • Building Inspection Manual
    • Building Information Modeling
  5. Which optimization approach did the cited benchmark say was popular in architectural design optimization?
    • 유전 알고리즘
    • 음성 인식
    • Image-caption generation
    • Word alignment
  6. Which types of information can an IFC building model represent beyond geometry?
    • Only a photorealistic image of the finished building
    • Attributes and relationships such as materials, locations, connections, ownership, and work schedules
    • A guarantee that the design meets every local building code
    • A rendered view with no object or process data
  7. What information does IFC provide in a BIM workflow?
    • A guarantee that every model is accurate
    • A permit approval from a regulator
    • A schema and exchange format for building-model data
    • An image model’s prompt history
  8. What result did the cited architectural benchmark report for its tested evaluation budget and problems?
    • Every genetic algorithm found the global optimum
    • Diffusion models outperformed all simulations
    • The results proved one method best for every building project
    • The model-based RBFOpt method was the most efficient and robust of the tested methods