quiz bu lëkkale ak tegtal · Diggante Niveau

Luma IA quiz

Xoolaat Luma masin Dream ak kapte 3D ci niveau buñ jagleel benn version; tàqale wideo biñ defar ak tabaxaat seen.

Yooni njiit yu jëm ciLuma AI
Laaj 1 de 8

What did Luma’s historical Dream Machine product generate?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. What did Luma’s historical Dream Machine product generate?
    • Short video clips conditioned on text or image inputs
    • Three-dimensional CAD files from audio alone
    • A guarantee of realistic physics in every clip
    • Neural radiance fields from a single unposed image
  2. Which research approach reconstructs a 3D scene from images by representing it as a continuous radiance field?
    • CTC sequence alignment
    • Neural radiance fields (NeRF)
    • Region proposal networks
    • Yokkateg degrade
  3. Lan mooy jafe-jafe bi gëna tar ci defar wideo moo gën defar benn nataal?
    • Tann ab font
    • Komprime benn JPEG
    • Fexe am deggoo ci diir bi ci biir kaadar yi
    • Tann turu domen
  4. What did Luma introduce as Camera Motion Concepts for its Ray2 video model?
    • A guarantee that generated videos match real footage
    • A NeRF feature that requires no training examples
    • A rule that keeps every object fixed in every frame
    • Learnable camera moves that can be composed from one or a few examples
  5. What input does the original NeRF paper use to learn a radiance field for a scene?
    • Multiple posed images of the scene
    • A single text prompt with no images
    • An unordered list of object names
    • A video transcript with no camera information
  6. What does a NeRF query at a 3D location and viewing direction?
    • A tokenized transcript and speaker label
    • A color and volume density used for rendering
    • A camera-motion command and frame index
    • A bounding box and object class only
  7. Which video model does Luma’s July 2026 official information page identify as current?
    • Dream Machine, which remains the current model
    • Ray2, which is not deprecated
    • Ray3.2
    • NeRF, a product for text-to-video generation
  8. What should a user check before treating a generated clip as factual footage?
    • Whether the file uses a common codec
    • Whether it has a high frame rate
    • Whether it contains a title card
    • Whether the clip is synthetic and what prompt or source material produced it