Kuis Pengecatan dan Pengecatan Luar

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. Apa yang dilakukan dengan melukis?
   • Meregenerasi wilayah bertopeng di dalam gambar
   • Memperluas gambar melampaui batasnya
   • Mengubah teks menjadi ucapan
   • Kompres file gambar
2. Apa fungsi pengecatan luar?
   • Menghapus warna dari foto
   • Menghasilkan konten baru di luar tepi aslinya
   • Mendeteksi wajah
   • Mempertajam piksel buram
3. How does RePaint use the known region during diffusion-based inpainting?
   • It permanently freezes every unmasked pixel with no resampling
   • It removes the mask before denoising
   • It repeatedly resamples and conditions generation on known pixels during reverse diffusion
   • It trains a new model from scratch for each image
4. What architecture does LaMa introduce for large-mask image inpainting?
   • A language-only transformer
   • A nearest-neighbor search over captions
   • A fixed-color fill with no learned model
   • Fast Fourier Convolutions with a receptive field that supports image-wide context
5. Apa yang memandu konten yang muncul di wilayah bertopeng?
   • Prompt teks dan piksel di sekitarnya
   • Hanya nama filenya saja
   • Jam perangkat
   • Tingkat kompresi gambar
6. Mengapa pengecatan luar berguna untuk pembingkaian ulang?
   • Ini menghapus subjeknya
   • Itu dapat mengubah rasio aspek foto dengan menambahkan pemandangan
   • Ini mengenkripsi gambar
   • Ini mengurangi resolusi
7. Besides Fourier Convolutions, what two components does the LaMa paper identify in its large-mask inpainting method?
   • A speech decoder and image captioner
   • A fixed image palette and nearest-neighbor lookup
   • A high receptive-field perceptual loss and large training masks
   • A video tracker and optical-flow classifier
8. What does a mask specify in an inpainting task?
   • The image’s camera model
   • The order of training examples
   • The output file’s copyright status
   • Which image region is to be modified or synthesized