cs.CV(2024-04-23)
📊 共 25 篇论文 | 🔗 3 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (10)
支柱三:空间感知与语义 (Perception & Semantics) (6)
支柱二:RL算法与架构 (RL & Architecture) (4 🔗1)
支柱六:视频提取与匹配 (Video Extraction) (2 🔗2)
支柱一:机器人控制 (Robot Control) (1)
支柱四:生成式动作 (Generative Motion) (1)
支柱七:动作重定向 (Motion Retargeting) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (10 篇)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation | 提出伪深度标签以解决动态区域的单目深度估计问题 | depth estimation monocular depth motion estimation | ||
| 12 | TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting | 提出TalkingGaussian以解决动态人脸合成中的失真问题 | gaussian splatting splatting | ||
| 13 | DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition | 提出DENOISER框架以解决开放词汇动作识别中的噪声问题 | open-vocabulary open vocabulary | ||
| 14 | FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent | 提出FlowMap以解决高质量相机姿态和深度估计问题 | gaussian splatting splatting optical flow | ||
| 15 | SGFormer: Spherical Geometry Transformer for 360 Depth Estimation | 提出SGFormer以解决360深度估计中的全景失真问题 | depth estimation | ||
| 16 | Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization | 提出多会话SLAM以解决跨视频相机运动跟踪问题 | visual odometry optical flow |
🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 17 | Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation | 提出VisionPrefer以解决人类偏好数据不足问题 | reinforcement learning large language model multimodal | ||
| 18 | Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model | 提出Mamba3D以解决点云分析中的特征提取问题 | Mamba SSM state space model | ✅ | |
| 19 | CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios | 提出CT-GLIP以解决3D医学图像与语言对齐问题 | contrastive learning foundation model multimodal | ||
| 20 | Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos | 提出MiDl方法以解决自我监督测试时缺失模态问题 | distillation egocentric |
🔬 支柱六:视频提取与匹配 (Video Extraction) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 21 | Think-Program-reCtify: 3D Situated Reasoning with Large Language Models | 提出LLM-TPC框架以解决3D环境中的推理问题 | egocentric large language model | ✅ | |
| 22 | SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation | 提出SMPLer以解决单目3D人类形状与姿态估计中的计算复杂性问题 | SMPL | ✅ |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 23 | WANDR: Intention-guided Human Motion Generation | 提出WANDR以解决自然人类运动生成问题 | locomotion reinforcement learning motion generation |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 24 | You Think, You ACT: The New Task of Arbitrary Text to Motion Generation | 提出一种新方法以解决任意文本到动作生成的挑战 | text-to-motion motion generation human motion |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 25 | 3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation | 提出3DFlowRenderer以解决面部表情转移的鲁棒性问题 | motion estimation |