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About this paper
Yitian Yuan, Qianyue He
The paper presents a differentiable hardware renderer for 3D Gaussian Splatting that preserves ordered per-pixel state with programmable blending and reduces gradients through 2×2 quads and conditional subgroups. Using float16 render targets, it achieves 58.56 ms forward-plus-backward latency versus 179.7 ms for 3DGS, with 4.14× less memory, on an RTX 4080 Laptop GPU; this is rendering latency, not training time.
Key insights
- The 'Splat-Subgroup Cohesion Hypothesis' was validated, showing that fragments from the same splat are frequently processed within the same GPU subgroup, enabling efficient subgroup-level gradient reduction.
- Full-precision (float32) render targets severely degrade hardware rasterization performance, making reduced-precision formats crucial for achieving practical speedups.
- Programmable blending with execution order guarantees provides a robust mechanism for accurate, analytically derived gradient computations within the constraints of the hardware graphics pipeline.
Summary by alphaXiv.
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