cs.CV(2023-10-30)

📊 共 16 篇论文 | 🔗 6 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (8 🔗4) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗2) 支柱三:空间感知与语义 (Perception & Semantics) (2) 支柱七:动作重定向 (Motion Retargeting) (1) 支柱四:生成式动作 (Generative Motion) (1) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗
1 Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models 提出ProMISe以解决医学图像分割中的数据获取与标签可用性问题 foundation model
2 Harvest Video Foundation Models via Efficient Post-Pretraining 提出高效后预训练框架以获取视频基础模型 foundation model
3 Are Natural Domain Foundation Models Useful for Medical Image Classification? 探讨自然领域基础模型在医学图像分类中的有效性 foundation model
4 MM-VID: Advancing Video Understanding with GPT-4V(ision) 提出MM-VID以解决长视频理解与复杂任务挑战 large language model multimodal
5 RGB-X Object Detection via Scene-Specific Fusion Modules 提出RGB-X融合网络以解决多模态传感器融合问题 multimodal
6 Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone 提出Res-Tuning以解决现有调优方法的灵活性不足问题 foundation model
7 Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP 提出InMaP以解决视觉分类中的模态差距问题 zero-shot transfer
8 VideoCrafter1: Open Diffusion Models for High-Quality Video Generation 提出开源扩散模型以解决高质量视频生成问题 foundation model

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
9 Text-to-3D with Classifier Score Distillation 提出分类器得分蒸馏方法以提升文本到3D生成效果 distillation classifier-free guidance
10 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation 提出OFA-KD框架以解决异构架构间知识蒸馏问题 teacher-student distillation
11 MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval 提出MCAD以提升图像-文本检索效率 distillation

🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗
12 Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements 提出动态高斯点云重建技术以解决婴儿运动捕捉问题 gaussian splatting splatting markerless motion capture
13 SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation 提出SeamlessNeRF以解决多NeRF无缝合成问题 NeRF neural radiance field

🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗
14 GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo 提出GC-MVSNet以解决多视角立体视觉中的几何一致性问题 geometric consistency

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
15 LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart 提出LinFlo-Net以解决心脏模型生成中的自穿透问题 penetration

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
16 Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions 提出深度学习方法以解决重叠稀疏图像分解问题 manipulation

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