Exam NCA-GENM Topic 1 Question 229 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 229
Topic #: 1

You are building a multimodal generative A1 system that creates 3D models from text descriptions. The system produces accurate shapes but struggles to generate realistic textures and surface details. What approach would BEST address this limitation?

A. Increase the number of parameters in the text encoder. B. Train a separate texture generation network conditioned on the generated 3D shape. C. Reduce the resolution of the generated 3D models to simplify the texture generation process. D. Increase the batch size during the 3D model generation phase. E. Add more layers to the shape decoder.

Suggested Answer: B Vote an answer

Training a separate texture generation network allows for specialization in generating realistic surface details. This approach decouples the shape generation from the texture generation, allowing each component to be optimized independently. The other options are less targeted at improving texture realism. Increasing text encoder parameters (A) improves text understanding, not texture quality. Reducing resolution (C) degrades the final output. Increasing batch size (D) affects training speed, not texture quality. Adding layers to the shape decoder (E) may improve shape accuracy, but not texture realism.

by Herbert at Feb 01, 2026, 05:18 AM

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