This article discusses a comparative analysis of controllable 3D object generation methods, namely Latent-NeRF and Fantasia3D. It highlights the shortcomings of Latent-NeRF, which, although effective at producing overall plausible reconstructions, often misses intricate texture details. On the other hand, Fantasia3D relies heavily on initial 3D shapes, leading to distortions and inconsistencies in the generated models. These reflections serve to emphasize the challenges in optimizing 3D representations while maintaining detail and coherence across multiple designs.
Latent-NeRF achieves plausible results but struggles with fine details, while Fantasia3D generates overgrowth and is affected by the 'multi-face Janus problem.'
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