cs.CV(2023-11-02)
📊 共 22 篇论文 | 🔗 5 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (9 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (6 🔗1)
支柱三:空间感知与语义 (Perception & Semantics) (3 🔗1)
支柱一:机器人控制 (Robot Control) (2)
支柱四:生成式动作 (Generative Motion) (1 🔗1)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (9 篇)
🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models | 提出VideoDreamer以解决多主体定制文本到视频生成问题 | dreamer foundation model | ||
| 11 | Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion | 提出Copilot4D以解决自主驾驶中的世界模型学习问题 | world model world models VQ-VAE | ||
| 12 | Concatenated Masked Autoencoders as Spatial-Temporal Learner | 提出CatMAE以解决视频表示学习中的时空理解问题 | representation learning masked autoencoder | ||
| 13 | Sequential Subset Matching for Dataset Distillation | 提出SeqMatch以解决数据蒸馏中的耦合问题 | distillation | ✅ | |
| 14 | Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration | 提出跨模态信息引导网络以解决点云配准问题 | contrastive learning | ||
| 15 | Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding | 提出PPO-TD以解决全景叙事定位中的视觉语言交互问题 | PPO multimodal |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 16 | Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images | 提出一种新方法从滚动快门光场图像中估计3D形状与运动 | 3D reconstruction motion estimation | ✅ | |
| 17 | Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation | 提出基于少量样本的CLIP适应方法以解决单目深度估计问题 | depth estimation monocular depth | ||
| 18 | CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation | 提出CADSim以解决野外传感器数据稀疏与噪声问题 | 3D reconstruction |
🔬 支柱一:机器人控制 (Robot Control) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 19 | Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning | 提出自蒸馏微调方法以提升有限数据下扩散模型的表现力 | manipulation distillation | ||
| 20 | UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation | 提出UltraLiDAR以解决稀疏LiDAR点云生成与补全问题 | manipulation |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 21 | Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs | 提出层次语义图以实现运动扩散模型的精细控制 | motion diffusion model motion diffusion text-to-motion | ✅ |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 22 | IR-UWB Radar-based Situational Awareness System for Smartphone-Distracted Pedestrians | 提出UWB辅助安全行走系统以解决智能手机分心行人的安全问题 | PULSE |