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C-Fast-FoundationStereo 发布

来源: twitter关注列表
作者: ModelScope (@ModelScope2022)
发布于: 2026-06-29
收录于: 2026-06-29
AI 推荐理由
与 FoundationStereo 相比,该模型通过蒸馏和剪枝实现 10 倍加速且精度几乎无损,值得关注其技术细节和开源代码。
核心解读
NVIDIA 发布 C-Fast-FoundationStereo,基于 FoundationStereo 进行蒸馏、架构搜索和结构化剪枝,参数量 14.6M,在零样本立体深度估计上比 FoundationStereo 快 10 倍以上且精度接近。支持 PyTorch、NVIDIA TAO、TensorRT 和 ONNXRuntime 导出。
全文
Real-time stereo depth, with FoundationStereo-style zero-shot generalization. ⚡ C-Fast-FoundationStereo is now on ModelScope! 🔗 https://t.co/1M2N1FnaLG Key points: 🚀 Over 10× faster than FoundationStereo 🎯 Closely matches its zero-shot accuracy 👁️ Input: rectified left-right RGB stereo images 🗺️ Output: dense disparity map for depth estimation 🧠 14.6M parameters 🛠️ Built with distillation, architecture search, and structured pruning Supports PyTorch, NVIDIA TAO, TensorRT, and ONNXRuntime export. License: NVIDIA Open Model Agreement ![photo](https://pbs.twimg.com/media/HMAav-XXYAAQaXx.jpg) ![photo](https://pbs.twimg.com/media/HMAawQ0WQAAVdDd.jpg)
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