SPLATIFY: Reproduce, Discover, Innovate! From Papers and Ideas to Trainable 3DGS Code

  • 类型:arxiv
  • 标识:2610.09116
  • 链接:https://arxiv.org/abs/2610.09116
  • 主分类:agent
  • 形态:method
  • TLDR:The rapid growth of 3D Gaussian Splatting (3DGS) research demands significant effort to reimplement papers before building on them. We introduce SPLATIFY, a multi-agent framework that converts 3DGS papers into trainable gsplat-based implementations, where generic paper-to-code methods and frontier models fail. SPLATIFY achieves this through five innovations: (1) A context-free grammar for gsplat over a modular method template with extension points for losses, densification, rendering, and optimization, constraining synthesis so generated code satisfies gsplat's architectural invariants by cons
  • 待LLM分类:否
  • 来源文件:
  • /inbox/tom/_candidates/2026-10-13-agent-rag-longcontext-candidates.json