Enhancing Photorealistic 3D Reconstructions: Ethical Considerations in AI Simulation Workflows
Introduction to Photorealistic 3D Reconstruction Challenges Creating truly photorealistic 3D environments for simulations remains a complex task. Despite advances in neural reconstruction techniques like 3D Gaussian Splatting (3DGS) and its variant with Unscented Transform (3DGUT), imperfections persist. Rendered images often show issues such as blurriness, missing areas, or unintended geometric artifacts, especially when viewed from new angles. These flaws not only affect visual quality but raise important questions about the ethical use of AI in simulation environments. Workflow Diagnosis: Identifying Reconstruction Artifacts Careful observation of outputs reveals common artifacts that impact the realism of 3D reconstructions. Blurriness can reduce sharpness and detail, while holes or gaps in the geometry create incomplete scenes. Spurious geometry introduces shapes or structures that do not exist in the real environment. Diagnosing these errors requires analyzing the reco...