cs.CV(2025-11-15)

📊 共 9 篇论文 | 🔗 1 篇有代码

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支柱三:空间感知 (Perception & SLAM) (6 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (3)

🔬 支柱三:空间感知 (Perception & SLAM) (6 篇)

#题目一句话要点标签🔗
1 LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors LiDAR-GS++:利用扩散先验改进LiDAR高斯重建,提升新视角合成质量 gaussian splatting NeRF neural radiance
2 Changes in Real Time: Online Scene Change Detection with Multi-View Fusion 提出一种基于多视角融合的在线场景变化检测方法,达到SOTA性能。 3D gaussian splatting gaussian splatting pose estimation
3 Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective 提出Completion-by-Correction方法以解决点云补全中的结构不一致问题 point cloud
4 Point Cloud Quantization through Multimodal Prompting for 3D Understanding 提出基于多模态Prompt的点云量化方法,用于提升3D理解能力 point cloud
5 UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization 提出UniABG,通过对抗视角桥接和图对应校准实现无监督跨视角地理定位 localization
6 SRSplat: Feed-Forward Super-Resolution Gaussian Splatting from Sparse Multi-View Images SRSplat:基于稀疏多视角图像的前馈超分辨率高斯溅射重建 gaussian splatting

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
7 Constructing and Interpreting Digital Twin Representations for Visual Reasoning via Reinforcement Learning 提出基于强化学习的DT-R1框架,利用数字孪生表示统一解决视觉推理任务。 reinforcement learning
8 MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity 提出MovSemCL框架,通过运动语义对比学习提升轨迹相似度计算性能。 contrastive learning
9 Calibrated Multimodal Representation Learning with Missing Modalities 提出CalMRL,通过校准不完整对齐解决缺失模态下的多模态表征学习问题。 representation learning

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