Kedis ku xidhan hagaha · Adag Heerka

Kediska Tafatirka Feejignaanta Toosan ee degdega ah

Sahami sida Tafatirka degdega ah ee degdega ah u soo saaray sawirada iyada oo loo marayo xakamaynta feejignaanta, isku darka gudaha, iyo rogida sawirada dhabta ah.

Su'aal 1 ee 8

Waa maxay macluumaadka gudaha ee degdega ah-si-degdegga ah uu dib u isticmaalo si uu u ilaaliyo goobta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay macluumaadka gudaha ee degdega ah-si-degdegga ah uu dib u isticmaalo si uu u ilaaliyo goobta?
    • Khariidadaha fiiro-dhaafka ah ee isku xidha erayada gobollada sawirka
    • pixels soo saarka ugu dambeeya
    • Xaaladda wanaajinta moodeelka
    • Xog-ururinta sawirka
  2. Deg-deg-degdegga ma u baahan tahay hagaajinta qaabka?
    • Haa, dib u tabobar buuxa tafatirkiiba
    • Maya, waa farsamo bilaa tababar ah
    • Haa, laakiin kaliya codeeyaha qoraalka
    • Kaliya ku darista ereyo cusub
  3. Si aad 'baaskiil' ugu beddelato 'mootada' intaad goobta ilaalinayso, habka:
    • Gacan ku dabool gobolka baaskiilka
    • Waxay ku tababartaa LoRA cusub mootooyinka
    • U fiirso dareenka u dhexeeya calaamadaha u dhigma ee labada dareen
    • Waxay abuurtaa muuqaal madax-bannaan oo dhammaystiran
  4. Maxaa dib-u-cusboonaynta dareenka calaamaduhu ku guulaysataa?
    • Waxay beddeshaa xallinta sawirka
    • Waxay tirtirtaa gebi ahaanba calaamadda
    • Waxay dib u habaysaa erayada degdega ah
    • Waxay xoojisaa ama daciifisaa saamaynta aragga eraygaas
  5. Markaad kelmad ku darto degdegga, degdeg u-deji:
    • Waxay ilaalisaa dareenka calaamadaha aan isbeddelin waxayna u ogolaataa calaamadda cusub oo keliya inay samaysato dareen cusub
    • Dib-u-randomizes sawirka oo dhan
    • Way iska indho tirtay ereyga lagu daray
    • U beddelo qaab sal oo ka duwan
  6. Which separate model was trained to follow written image-editing instructions from an input image?
    • InstructPix2Pix, a conditional diffusion editor trained on generated instruction-edit pairs
    • Prompt-to-Prompt, which edits by controlling cross-attention maps during denoising
    • Null-text inversion, which optimizes unconditional embeddings for image inversion
    • LocalBlend, which creates a selected-token mask from attention maps
  7. What does the Prompt-to-Prompt LocalBlend feature use to localize a change?
    • A hand-drawn mask required for every Prompt-to-Prompt edit
    • The EXIF metadata of the original image
    • Attention maps for selected prompt words to construct a spatial mask
    • A classifier that identifies image copyright
  8. What extra step can enable Prompt-to-Prompt editing of a real photograph?
    • Train a new diffusion model from scratch
    • Convert the photograph into an audio spectrogram
    • Replace every cross-attention layer with a classifier
    • Invert the image into the diffusion model’s latent trajectory first