cs.CV(2024-07-13)

📊 共 8 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) (3 🔗2) 支柱一:机器人控制 (Robot Control) (2) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱四:生成式动作 (Generative Motion) (1)

🔬 支柱三:空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗
1 Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding 提出密集多模态对齐框架,用于开放词汇3D场景理解 scene understanding open-vocabulary open vocabulary
2 Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity Textured-GS:利用空间定义颜色和不透明度的高斯溅射渲染方法 3DGS gaussian splatting splatting
3 ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video 提出ScaleFlow++以解决3D运动估计不准确的问题 optical flow scene flow feature matching

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
4 Sim-to-Real Domain Adaptation for Deformation Classification 提出基于智能适配网络的Sim-to-Real形变分类框架,无需真实形变数据。 sim-to-real
5 NamedCurves: Learned Image Enhancement via Color Naming NamedCurves:通过颜色命名学习的图像增强方法 manipulation

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
6 VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation VividDreamer:提出不变分数蒸馏(ISD)方法,解决文本到3D生成中的过饱和与过平滑问题。 dreamer distillation classifier-free guidance

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
7 PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models 提出PFPs:提示引导的灵活病理分割,利用大视觉语言模型实现多样化潜在结果 large language model foundation model

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
8 Prototype Clustered Diffusion Models for Versatile Inverse Problems 提出原型聚类扩散模型,解决通用逆问题中非确定性退化难题 classifier-free guidance

⬅️ 返回 cs.CV 首页 · 🏠 返回主页