Spirula Studio delivers a cross-vendor, standalone 3D Gaussian Splatting and meshing pipeline that runs across NVIDIA, AMD, Intel, and Apple GPUs without requiring Python or COLMAP.
Spirula Studio is an open-source, all-in-one 3D Gaussian Splatting (3DGS) trainer written in C++ that transforms raw photos and videos into view-dependent splats and textured 3D meshes within a single self-contained binary. By building on Vulkan compute alongside CUDA, it breaks free from Nvidia-exclusive research workflows, enabling local training on AMD, Intel, and Apple Silicon hardware without messy Python, PyTorch, or external COLMAP dependencies. The tool features built-in Structure-from-Motion (SfM), AI masking, native 360° equirectangular camera handling, telemetry-based metric scale recovery, and quantized training that fits up to 10 million spherical harmonic Gaussians within an 8 GB VRAM budget.
3D Gaussian Splatting has long been bogged down by a severe research-code tax and CUDA exclusivity; Spirula Studio obliterates the Python dependency nightmare and makes spatial 3D reconstruction truly turnkey for consumer hardware.
- –Cross-vendor democratization: Vulkan compute support frees Gaussian splatting from the Nvidia walled garden, giving AMD, Intel, and Mac users native, competitive training performance.
- –True zero-dependency architecture: Bundling video extraction, SfM feature matching, AI masking, and mesh extraction into one binary replaces an entire fragile toolchain.
- –Extreme VRAM optimization: Fitting 10 million full-SH Gaussians in 8 GB VRAM makes high-fidelity spatial capture feasible on mainstream gaming rigs and laptops.
- –Production-oriented pipeline: Native equirectangular 360° input and direct textured mesh export bridge the gap between photogrammetry research and game engine/VFX assets.
DISCOVERED
1h ago
2026-09-23
PUBLISHED
1h ago
2026-09-23
RELEVANCE