cs.CV(2024-01-31)
📊 共 17 篇论文 | 🔗 6 篇有代码
🎯 兴趣领域导航
支柱三:空间感知与语义 (Perception & Semantics) (7 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (5 🔗4)
支柱七:动作重定向 (Motion Retargeting) (1)
支柱二:RL算法与架构 (RL & Architecture) (1)
支柱五:交互与反应 (Interaction & Reaction) (1)
支柱六:视频提取与匹配 (Video Extraction) (1 🔗1)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow | 提出共同外观-边界适应框架以解决夜间光流问题 | optical flow feature matching spatiotemporal | ||
| 2 | SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition | 提出SAGD以解决3D高斯分割边界模糊问题 | 3D gaussian splatting gaussian splatting splatting | ||
| 3 | Local Feature Matching Using Deep Learning: A Survey | 综述深度学习在局部特征匹配中的应用与挑战 | 3D reconstruction feature matching | ✅ | |
| 4 | ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields | 提出ReplaceAnything3D以解决3D场景中对象替换问题 | neural radiance field | ||
| 5 | CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration | 提出CMRNext以解决相机与LiDAR匹配问题 | optical flow | ||
| 6 | Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators | 提出运动引导技术以解决扩散模型精细编辑问题 | optical flow | ||
| 7 | Topology-Aware Latent Diffusion for 3D Shape Generation | 提出拓扑感知潜在扩散模型以生成多样化3D形状 | implicit representation |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Binding Touch to Everything: Learning Unified Multimodal Tactile Representations | 提出UniTouch以解决多模态触觉学习挑战 | multimodal | ✅ | |
| 9 | Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis | 提出Proximity QA以解决多模态大语言模型空间接近性分析问题 | large language model | ✅ | |
| 10 | From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information | 提出自适应训练方法以提升多模态大语言模型的检测信息理解能力 | large language model multimodal | ||
| 11 | Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation | 提出Hi-SAM以解决层次文本分割问题 | foundation model | ✅ | |
| 12 | M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval | 提出M2-RAAP以解决视频-文本检索中的适应性预训练问题 | foundation model | ✅ |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning? | 提出模型以解决标签MRI中标签褪色问题 | motion estimation PULSE |
🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition | 提出PVLR框架以提升多标签图像识别性能 | representation learning |
🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | VR-based generation of photorealistic synthetic data for training hand-object tracking models | 提出blender-hoisynth以解决手-物体交互数据标注不足问题 | HOI |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 16 | Improved Scene Landmark Detection for Camera Localization | 提出改进的场景地标检测以解决相机定位精度不足问题 | feature matching | ✅ |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 17 | 3D-Plotting Algorithm for Insects using YOLOv5 | 提出一种基于YOLOv5的3D昆虫监测算法以解决生态研究问题 | spatiotemporal |