AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes GeometryAP, a training-free framework for consistent 3D content generation via geometry-informed auxiliary priors in a two-stage "generate-then-reconstruct" pipeline, and proposes the 3D Gaussian-based Global-to-Local Mesh optimizer (GaussGLMeshizer).
Tempo3D is proposed, a resource-efficient paradigm for high-fidelity VecSet-based 3D generation via efficient temporal-aware fine-tuning and multi-view latent aggregation that outperforms state-of-the-art baselines in generation quality, geometric precision, and editability under a highly efficient computational budget...
SARG-GS is proposed, a geometry-driven 3DGS framework tailored for sparse-view scenarios, comprising a Semantic Augmented Epipolar Fusion (SAEF) module and a Residual Guided Reprojection Compensation (RRC) module, which achieves superior structural completeness and rendering fidelity with as few as three input views.
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