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1. Which task does the original NeRF representation support from its posed scene images?
   • A guarantee of complete hidden geometry from any two photos
   • Synthesis of views not identical to the training cameras
   • Translation of every scene into a text caption
   • Mandatory face identification for every image
2. Which quantities are predicted by the original NeRF field for queried scene coordinates?
   • RGB appearance and volume density
   • Only one complete final image returned by every point query
   • The camera’s required GPS address
   • Only the training image filename
3. What does the conceptual five-dimensional input in the original NeRF paper combine?
   • Five separate input photographs
   • Five independent color channels
   • One date and four document labels
   • A 3D position and a viewing direction with two angular degrees of freedom
4. How does original NeRF rendering use queried samples along a camera ray?
   • It takes only the brightest sample regardless of every other contribution
   • It ignores sample distances and every density value
   • It composites density and color with sample distances and transmittance
   • It selects an unchanged training image solely by filename
5. What purpose does positional encoding serve in the original NeRF experiments?
   • Helping the MLP represent high-frequency coordinate-dependent detail
   • Guaranteeing a complete scene from no observations
   • Changing all spatial coordinates into camera GPS readings
   • Eliminating every optimization step
6. اصل NeRF کی ایک بڑی عملی حد کیا تھی؟
   • یہ صرف آڈیو آؤٹ پٹ کر سکتا ہے۔
   • ہر منظر کو تربیت دینے اور پیش کرنے میں یہ سست تھی۔
   • اس کے لیے کسی بھی تصویر کی ضرورت نہیں تھی۔
   • یہ صرف گھر کے اندر کام کرتا تھا۔
7. Which camera information is supplied with images in the stated original NeRF training setup?
   • Only a universal claim that all photo collections share one pose
   • Only a text prompt with no image-camera information
   • Known camera poses
   • A required list of real-world product prices
8. In the original NeRF architecture, how is density’s dependence on input coordinates restricted relative to color?
   • Density must depend only on viewing direction and ignore position
   • Both outputs must be constant across all positions
   • Color must ignore both position and direction
   • Density uses position only; color can also use viewing direction