cs.CV(2025-05-31)
📊 共 15 篇论文 | 🔗 5 篇有代码
🎯 兴趣领域导航
支柱二:RL算法与架构 (RL & Architecture) (4 🔗1)
支柱一:机器人控制 (Robot Control) (3 🔗2)
支柱九:具身大模型 (Embodied Foundation Models) (3 🔗2)
支柱三:空间感知与语义 (Perception & Semantics) (2)
支柱六:视频提取与匹配 (Video Extraction) (1)
支柱四:生成式动作 (Generative Motion) (1)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery | 提出SatDreamer360以解决卫星图像生成多视角一致地面场景问题 | dreamer height map | ||
| 2 | SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation | 提出SenseFlow以解决大规模文本到图像蒸馏的收敛问题 | flow matching distillation | ✅ | |
| 3 | From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models | 提出DiSRT以评估自监督视觉模型的整体感知能力 | MAE spatial relationship | ||
| 4 | CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning | 提出CReFT-CAD以解决CAD中正投影推理问题 | reinforcement learning instruction following |
🔬 支柱一:机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward | 提出多模态生成AI与自回归LLM以提升人类动作理解与生成 | humanoid text-to-motion motion synthesis | ||
| 6 | XYZ-IBD: A High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity | 提出XYZ-IBD数据集以解决工业环境中的6D姿态估计问题 | manipulation depth estimation 6D pose estimation | ✅ | |
| 7 | SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models | 提出SEED数据集以解决顺序面部属性编辑的挑战 | manipulation | ✅ |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning | 提出基于帧感知推理的视频理解方法以提升多模态LLMs性能 | large language model multimodal chain-of-thought | ✅ | |
| 9 | HueManity: Probing Fine-Grained Visual Perception in MLLMs | 提出HueManity基准以评估多模态大语言模型的视觉感知能力 | large language model multimodal | ||
| 10 | Common Inpainted Objects In-N-Out of Context | 提出COinCO数据集以解决视觉数据集中缺乏上下文示例的问题 | large language model multimodal | ✅ |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties | 提出基于不确定性学习的光流与立体深度估计改进方法 | depth estimation stereo depth optical flow | ||
| 12 | Test-time Vocabulary Adaptation for Language-driven Object Detection | 提出VocAda以解决开放词汇物体检测中的词汇适应问题 | open-vocabulary open vocabulary |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views | 提出TF2025数据集与序列识别方法以解决多摄像头交互问题 | egocentric egocentric vision Ego4D |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models | 提出并行重标定技术以解决个性化扩散模型的生成一致性问题 | classifier-free guidance |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement | 提出基于事件的多视角摄影测量方法以解决高速动态目标测量问题 | spatiotemporal |