Robbyant/lingbot-map

项目解读

A feed-forward 3D foundation model for reconstructing scenes from streaming data。 README 重点章节包括：📑 Table of Contents、📰 News、📋 TODO、⚙️ Installation、📦 Model Download。

README / GitHub 亮点

• GitHub 描述：A feed-forward 3D foundation model for reconstructing scenes from streaming data。
• LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction。
• High-Efficiency Streaming Inference: A feed-forward architecture with paged KV cache attention, enabling stable inference at 20 FPS on 518×378 resolution over long sequences exceeding 10,000 frames.
• State-of-the-Art Reconstruction: Superior performance on diverse benchmarks compared to both existing streaming and iterative optimization-based approaches.

适用场景

适合评估 AI 应用、智能体工作流、模型工具链、RAG/提示词工程或 AI 辅助开发场景。

采用前核查

采用前仍需核查许可证、维护节奏、issue 质量、release 记录和生产适配成本。

README 摘要

LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction LingBot-Map has focused on: Geometric Context Transformer: Architecturally unifies coordinate grounding, dense geometric cues, and long-range drift correction within a single streaming framework through anchor context, pose-reference window, and trajectory memory. High-Efficiency Streaming Inference: A feed-forward architecture with paged KV cache attention, enabling stable inference at 20 FPS on 518×378 resolution over long sequences excee…