cs.CV(2024-02-01)
📊 共 20 篇论文 | 🔗 5 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 🔗1)
支柱四:生成式动作 (Generative Motion) (3)
支柱二:RL算法与架构 (RL & Architecture) (3 🔗2)
支柱六:视频提取与匹配 (Video Extraction) (1)
支柱一:机器人控制 (Robot Control) (1 🔗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 | On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy | 提出优化投影策略以解决3D高斯溅射中的投影误差问题 | 3D gaussian splatting gaussian splatting splatting | ||
| 2 | 360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming | 提出360-GS以解决全景图像高质量渲染问题 | 3D gaussian splatting gaussian splatting splatting | ||
| 3 | ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields | 提出ViCA-NeRF以解决3D编辑中的视图一致性问题 | NeRF neural radiance field | ||
| 4 | GaussianStyle: Gaussian Head Avatar via StyleGAN | 提出GaussianStyle以解决动态头建模中的细粒度表示和可扩展性问题 | 3D gaussian splatting 3DGS gaussian splatting | ||
| 5 | Diffusion-based Light Field Synthesis | 提出LFdiff以解决光场合成的高成本问题 | depth estimation monocular depth 3D reconstruction | ||
| 6 | Enhanced fringe-to-phase framework using deep learning | 提出SFNet以解决有限条纹模式下的3D重建问题 | 3D reconstruction | ✅ | |
| 7 | DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras | 提出DRSM以解决单视角动态场景重建问题 | scene reconstruction |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Safety of Multimodal Large Language Models on Images and Texts | 系统评估多模态大语言模型在图像和文本上的安全性 | large language model multimodal | ✅ | |
| 9 | MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments | 提出MEIA以解决多模态智能体在未知环境中的交互问题 | large language model multimodal | ||
| 10 | InfMAE: A Foundation Model in the Infrared Modality | 提出InfMAE以解决红外模态基础模型构建问题 | foundation model | ||
| 11 | Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser | 提出基于Transformer的模态融合方法以解决多模态脑MR图像合成问题 | multimodal | ||
| 12 | SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling | 提出SCO-VIST框架以解决视觉故事生成中的社交常识问题 | visual grounding |
🔬 支柱四:生成式动作 (Generative Motion) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition | 提出IMUGPT 2.0以解决人类活动识别中的数据稀缺问题 | text-driven motion motion synthesis large language model | ||
| 14 | AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data | 提出AnimateLCM以解决个性化视频生成效率低下问题 | motion generation | ||
| 15 | Dynamic Texture Transfer using PatchMatch and Transformers | 提出基于PatchMatch和Transformers的动态纹理转移方法 | VQ-VAE |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 16 | VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification | 提出VIS-MAE以解决医学图像分割与分类中的数据效率问题 | masked autoencoder MAE foundation model | ✅ | |
| 17 | Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection | 提出双学生知识蒸馏网络以解决无监督异常检测问题 | distillation | ||
| 18 | Lightweight Pixel Difference Networks for Efficient Visual Representation Learning | 提出轻量级像素差异网络以解决视觉表示学习的效率问题 | representation learning | ✅ |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 19 | Self-supervised learning of video representations from a child's perspective | 提出自监督学习方法以从儿童视角学习视频表征 | egocentric |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 20 | FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation | 提出FineBio数据集以解决生物实验视频理解问题 | manipulation | ✅ |