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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?
Correct Answer: B
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.