cs.CV(2023-10-20)

📊 共 13 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱三:空间感知与语义 (Perception & Semantics) (4 🔗3) 支柱九:具身大模型 (Embodied Foundation Models) (3) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗1) 支柱七:动作重定向 (Motion Retargeting) (1) 支柱六:视频提取与匹配 (Video Extraction) (1) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱三:空间感知与语义 (Perception & Semantics) (4 篇)

#题目一句话要点标签🔗
1 OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D Data 提出OpenAnnotate3D以解决多模态3D数据的自动标注问题 open-vocabulary open vocabulary embodied AI
2 UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene 提出UE4-NeRF以解决大规模场景实时渲染问题 3D reconstruction NeRF neural radiance field
3 Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos 提出Sync-NeRF以解决动态NeRF在非同步视频中的重建问题 NeRF neural radiance field scene reconstruction
4 ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields 提出ManifoldNeRF以解决少量图像下的视角依赖特征监督问题 NeRF neural radiance field

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
5 Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models 提出多模态大语言模型预测推理基准以解决能力不足问题 large language model multimodal
6 Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation 提出一种方法以解决合成图像与真实图像之间的差距问题 multimodal
7 Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds 提出Steve-Eye以解决LLM代理视觉感知不足问题 large language model multimodal

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

#题目一句话要点标签🔗
8 SILC: Improving Vision Language Pretraining with Self-Distillation 提出SILC框架以提升视觉语言预训练效果 contrastive learning distillation open-vocabulary
9 Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images 提出一种新方法以解决无数据知识蒸馏问题 distillation
10 Learning with Unmasked Tokens Drives Stronger Vision Learners 通过引入未掩码标记提升视觉学习者的表现 masked autoencoder MAE

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

#题目一句话要点标签🔗
11 PACE: Human and Camera Motion Estimation from in-the-wild Videos 提出一种新方法以解决动态视频中的人类与相机运动估计问题 human motion motion estimation

🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗
12 FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer 提出FMRT以解决特征匹配精度不足问题 feature matching

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
13 Dance Your Latents: Consistent Dance Generation through Spatial-temporal Subspace Attention Guided by Motion Flow 提出Dance-Your-Latents以解决舞蹈生成中的时空一致性问题 spatiotemporal

⬅️ 返回 cs.CV 首页 · 🏠 返回主页