gaussian-light-transport
Official implementation of Gaussian Light Transport (SIGGRAPH Asia 2026)
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GITHUB · launched Sep 11, 2026 · 14 upvotes (top 55%) · 2 views
Niche: graphics rendering engines and libraries · 149 launches, 11 in the last 7 days ▼ -15% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 149 launches in graphics rendering engines and libraries →
Could you build this?
No This is a SIGGRAPH research paper implementation introducing novel 3D Gaussian Splatting and light transport algorithms that require deep graphics research and custom GPU kernels.
What it would actually take: Developing this requires formulating novel mathematical models for light transport simulation (radiosity, global illumination, or ray tracing) integrated into 3D Gaussian primitives. The implementation necessitates custom CUDA/C++ differentiable rendering kernels and complex PyTorch optimization pipelines. It requires PhD-level expertise in physically based rendering, optics, and high-performance GPU computing.
Competitors
Other products that read as similar to this one : 1956 launches clear the similarity bar, closest 8 shown.
Attention rank: #1092 of 1957 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
- Applied Electrodynamics: A new kind of camera that can see through walls · yc · 2026-07-30 · 25 upvotes · similarity 0.59
- mw_splat · github · 2026-11-10 · 12 upvotes · similarity 0.59
- numpilot · github · 2026-11-11 · 25 upvotes · similarity 0.57
- SplatThumb · github · 2026-10-30 · 26 upvotes · similarity 0.57
- Optical-Layout-Designer · github · 2026-11-01 · 15 upvotes · similarity 0.56
- A simple algorithm for shifting solid-color image backgrounds (WASM) · hn · 2026-01-24 · 5 upvotes · similarity 0.56
- hktex · github · 2026-09-09 · 97 upvotes · similarity 0.56
- Isopolis · hn · 2026-08-03 · 350 upvotes · similarity 0.55
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