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Exam NCA-GENM Topic 1 Question 119 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 119
Topic #: 1
You are working on a project that involves generating realistic images of furniture based on textual descriptions. The input data consists of text descriptions and a small dataset of existing furniture images. Which data augmentation techniques would be MOST effective in improving the quality and diversity of the generated images?

Suggested Answer: D Vote an answer

Combining all techniques provides the best results. Image augmentations like cropping and rotation increase the variance of the image data. GANs create entirely new images, and text augmentation enhances the diversity of the input descriptions. Focusing only on one modality will likely limit the model's performance.

by Joseph at Jul 07, 2025, 02:33 AM

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