English(EN) LiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance

LiFi框架利用双分支引导从多视图图像生成LiDAR

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了LiFi，一个旨在从多视图相机图像生成LiDAR点云的新型框架。该方法采用双分支方法，结合几何和语义信息来引导潜在扩散过程。几何分支利用反向采样算法和感知不确定性的几何编码器，并整合了DepthAnything3，而语义分支则使用跨视图交互模块。LiFi采用平衡的无分类器引导策略来增强条件生成并改善两个分支之间的协同控制，在生成高保真LiDAR场景方面优于现有方法。 AI

影响该框架可以改进自动驾驶系统的合成数据生成，并增强跨模态模拟能力。

排序理由这是一篇研究论文，详细介绍了一种从图像生成LiDAR的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Sizhuo Zhou, Xiaosong Jia, Fanrui Zhang, Qifeng Li, Junjie Li, Zirui Wang, Yukang Feng, Yu Hong, Shaofeng Zhang, Wenlong Liao, Tao He, Juyong Zhang, Junchi Yan · 2026-10-15 04:00

LiFi：通过几何和语义协同指导从多视图图像生成LiDAR

arXiv:2610.19786v1 Announce Type: new Abstract: Generating LiDAR point clouds from multi-view camera images is a valuable task with applications in controllable data synthesis, cross-modal simulation and various perception tasks. However, most existing methods are not specificall…

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报道来源 [1]

LiFi：通过几何和语义协同指导从多视图图像生成LiDAR

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