cs.CV(2024-02-20)
📊 共 15 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱三:空间感知与语义 (Perception & Semantics) (5 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (5)
支柱七:动作重定向 (Motion Retargeting) (2 🔗1)
支柱六:视频提取与匹配 (Video Extraction) (1)
支柱一:机器人控制 (Robot Control) (1)
支柱二:RL算法与架构 (RL & Architecture) (1)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey | 综述NeRF与3D高斯点云重塑SLAM技术的进展 | 3D gaussian splatting 3DGS gaussian splatting | ||
| 2 | A Touch, Vision, and Language Dataset for Multimodal Alignment | 提出多模态对齐数据集以解决触觉与视觉语言模型的融合问题 | open-vocabulary open vocabulary multimodal | ||
| 3 | Aria Everyday Activities Dataset | 提出Aria日常活动数据集以促进多模态感知研究 | scene reconstruction egocentric multimodal | ✅ | |
| 4 | OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow | 提出OccFlowNet以解决自监督占用估计问题 | NeRF neural radiance field semantic map | ||
| 5 | Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields | 提出联合优化相机姿态与低秩张量辐射场的方法以提升鲁棒性 | NeRF |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Model Composition for Multimodal Large Language Models | 提出模型组合方法以解决多模态大语言模型的训练挑战 | large language model multimodal | ||
| 7 | Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering | 提出模态感知集成方法以解决知识驱动的视觉问答问题 | large language model multimodal | ||
| 8 | ConVQG: Contrastive Visual Question Generation with Multimodal Guidance | 提出ConVQG以解决视觉问题生成中的多模态约束挑战 | multimodal | ||
| 9 | Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions | 综述视觉-语言模型的现状与未来研究方向 | large language model multimodal | ||
| 10 | OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog | 提出OLViT以解决视频对话中的多模态状态跟踪问题 | large language model |
🔬 支柱七:动作重定向 (Motion Retargeting) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts | 提出MAD-Bench基准以评估多模态大语言模型对欺骗性提示的脆弱性 | spatial relationship large language model multimodal | ||
| 12 | MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion | 提出MuLan以解决多对象生成中的空间关系问题 | spatial relationship large language model multimodal | ✅ |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | 3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data | 提出生物力学感知网络以解决3D运动捕捉精度不足问题 | SMPL SMPL-X markerless motion capture |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation | 提出DiffusionNOCS以解决多模态类别级姿态估计中的对称性和不确定性问题 | sim2real |
🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | Video ReCap: Recursive Captioning of Hour-Long Videos | 提出Video ReCap以解决长视频自动标注问题 | curriculum learning Ego4D |