⬢github JavaScript · 738 ★ +211 since we first saw it · pushed 10 d ago · MIT
maanHimself/OpenDLSS-NR
A Vulkan reimplementation of NVIDIA's DLSS 5 Neural Rendering network, bit-exact against the original.
OpenDLSS-NR is a Vulkan reimplementation of NVIDIA's DLSS 5 neural rendering network, matching the original bit-for-bit, including all 71 transformer block intermediates. It runs FP8 GEMMs on tensor cores, includes a browser WebGPU port, a benchmark/profile/parity CLI tool, and a double-clickable demo. Users supply their own model weights; it renders, not upscales.
Why now: It hit Hacker News as a bit-exact, open reimplementation of NVIDIA's just-published DLSS 5 generative neural rendering network — a rare reverse-engineering feat with verified parity against the proprietary model.
Who it is for: Graphics and rendering engineers wanting to study, benchmark, or experiment with DLSS-style neural rendering outside NVIDIA's closed stack.
Stars over our 55 snapshots: 527 to 738, since 13 h ago.
Where people talked about it
- ⬢github new repos, most starred 11 min ago
- Yhn OpenDLSS: A Vulkan Reimplementation of Nvidia's DLSS 5 Neural Rendering Network 11 min ago
API: https://socialmediatrends-api.osmike.com/v1/repos/maanHimself/OpenDLSS-NR