{
  "added_at": "2026-11-09",
  "category": "reconstruction-cases",
  "class": "software",
  "description_en": "DLSS 5 Neural Rendering reconstructs parts of NVIDIA's model from static analysis of nvngx_dlssnr.dll 310.8.0.0 shipped with NBA 2K27. It documents a 153-record weight container, a 71-block Swin/ViT structure and numerical references for selected operators. The author reports byte-for-byte agreement for one FFN operator across 24 comparisons.",
  "description_zh": "DLSS 5 Neural Rendering 通过静态分析 NBA 2K27 附带的 nvngx_dlssnr.dll 310.8.0.0，重建 NVIDIA 模型的部分结构。项目记录了含 153 条记录的权重容器、71 个模块的 Swin/ViT 架构及部分算子的数值参考实现；作者报告一个 FFN 算子在 24 次比较中逐字节一致。",
  "entry_url": "https://awesomerea.org/resources/dlss5-nr-reverse-engineering-case/",
  "entry_url_zh": "https://awesomerea.org/zh/resources/dlss5-nr-reverse-engineering-case/",
  "evidence_url": "https://huggingface.co/inarikami/dlss5-nr-reverse-engineering/blob/2f3db2562d18f750169c85ed947dc15bffca5a3b/README.md",
  "group": "cases",
  "id": "dlss5-nr-reverse-engineering-case",
  "json_url": "https://awesomerea.org/resources/dlss5-nr-reverse-engineering-case/record.json",
  "kind": "case-study",
  "markdown_url": "https://awesomerea.org/resources/dlss5-nr-reverse-engineering-case/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/resources/dlss5-nr-reverse-engineering-case/index.md",
  "name": "DLSS 5 Neural Rendering: reconstructing a runtime model from DLL analysis",
  "name_zh": "DLSS 5 Neural Rendering：通过 DLL 分析重建运行时模型",
  "record_type": "resource",
  "relationship": "independent-reconstruction",
  "requirement_facets": [
    "prerequisites",
    "prerequisites",
    "limits",
    "license"
  ],
  "requirements": [
    "The readers require the user's own copy of nvngx_dlssnr.dll 310.8.0.0 and its extracted WEIGHTS_HT resource.",
    "Parsing, references and tests use PyTorch 2.14.0+cpu; native comparison requires a Blackwell GPU.",
    "A full forward pass and most operator comparisons remain unfinished.",
    "No licence stated on the project page."
  ],
  "requirements_zh": [
    "读取工具需要用户自己的 nvngx_dlssnr.dll 310.8.0.0 副本及从中提取的 WEIGHTS_HT 资源。",
    "解析、参考实现和测试使用 PyTorch 2.14.0+cpu；原生算子比较需要 Blackwell GPU。",
    "完整前向计算及多数算子的比较尚未完成。",
    "项目页面未说明许可证。"
  ],
  "targets": [
    "binary"
  ],
  "url": "https://huggingface.co/inarikami/dlss5-nr-reverse-engineering",
  "verification": "source-reviewed",
  "verified_at": "2026-11-09"
}