# xiahongchi/Fire3D > Fire3D is a research framework that turns a single RGB image or casual video into a 3D scene with objects, their 6-DoF poses, meshes and textures, without test-time optimization. It is the official code release with checkpoints and data for reproducing the paper's results. - Magnitude: 0.0 out of 10 — Steady - Stars: 152 total · +0 stars on 2026-09-24 (UTC), ≈ 0 by evening - Star trust: star growth looks organic - Category: Science & research · Language: Python · License: MIT · Created: 2026-09-07 · Last push: 2026-09-09 - GitHub: https://github.com/xiahongchi/Fire3D · Page: https://gitnova.dev/en/r/xiahongchi/Fire3D ## Useful for - Reproduce the paper's results on iTHOR, Imaginarium, ScanNet++ or single-image scenes - Reconstruct textured object meshes and a composed scene GLB from an input video - Run inference with --skip-render to get only perception and textured scene meshes ## Why it’s here - The repository is 17 days old and already has 152 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 16 - Issues and pull requests: 1 - Watchers: 2 - Average over the last week: 1 per day - Usual pace: 9 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 12 days 09-13 1.9, 09-14 2.4, 09-15 2.0, 09-16 1.6, 09-17 1.2, 09-18 0.8, 09-19 0.6, 09-20 0.5, 09-21 0.6, 09-22 0.0, 09-23 0.0, 09-24 0.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 00:01 UTC, updated every 30 minutes.