VkSplat delivers the first fully Vulkan-based 3DGS training pipeline with 3.3x speed and 33% VRAM reduction over CUDA baselines while preserving quality.
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MVDream is a multi-view diffusion model that functions as a generalizable 3D prior, enabling more consistent text-to-3D generation and few-shot 3D concept learning from 2D examples.
Two-view accumulation per optimizer step is the dominant training lever for hybrid-capture 3DGS, explained by a variance-decomposition framework showing within-regime gradient variance dominates over between-regime variance.
citing papers explorer
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VkSplat: High-Performance 3DGS Training in Vulkan Compute
VkSplat delivers the first fully Vulkan-based 3DGS training pipeline with 3.3x speed and 33% VRAM reduction over CUDA baselines while preserving quality.
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MVDream: Multi-view Diffusion for 3D Generation
MVDream is a multi-view diffusion model that functions as a generalizable 3D prior, enabling more consistent text-to-3D generation and few-shot 3D concept learning from 2D examples.
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Two-View Accumulation as the Primary Training Lever for Hybrid-Capture Gaussian Splatting: A Variance-Decomposition View of When Gradient Surgery Helps
Two-view accumulation per optimizer step is the dominant training lever for hybrid-capture 3DGS, explained by a variance-decomposition framework showing within-regime gradient variance dominates over between-regime variance.