cs.CV(2024-01-10)
📊 共 15 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) (5 🔗3)
支柱二:RL算法与架构 (RL & Architecture) (3)
支柱七:动作重定向 (Motion Retargeting) (2)
支柱九:具身大模型 (Embodied Foundation Models) (2)
支柱一:机器人控制 (Robot Control) (1)
支柱五:交互与反应 (Interaction & Reaction) (1 🔗1)
支柱六:视频提取与匹配 (Video Extraction) (1)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video | 提出CTNeRF以解决动态场景中视图合成问题 | NeRF neural radiance field | ✅ | |
| 2 | Diffusion Priors for Dynamic View Synthesis from Monocular Videos | 提出基于扩散先验的动态视图合成方法以解决视频合成挑战 | NeRF neural radiance field geometric consistency | ||
| 3 | FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields | 提出FPRF以解决大规模3D场景风格迁移问题 | neural radiance field | ✅ | |
| 4 | InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes | 提出InseRF以解决3D场景中新对象生成问题 | depth estimation monocular depth NeRF | ✅ | |
| 5 | Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects | 提出结构从重复物体中重建3D场景以解决单图像逆图形问题 | 3D reconstruction |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval | 提出一种新框架以解决零样本草图图像检索问题 | representation learning | ||
| 7 | Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning | 提出SPIRL以提高视觉深度强化学习的数据效率 | reinforcement learning deep reinforcement learning | ||
| 8 | Score Distillation Sampling with Learned Manifold Corrective | 提出得分蒸馏采样以解决噪声梯度问题 | distillation |
🔬 支柱七:动作重定向 (Motion Retargeting) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction | 提出AdvMT以解决长时间人类运动预测问题 | human motion human motion prediction motion prediction | ||
| 10 | Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction | 提出知识感知图变换器以解决行人轨迹预测问题 | human motion |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Detecting Brain Tumors through Multimodal Neural Networks | 提出多模态神经网络以提高脑肿瘤检测准确性 | multimodal | ||
| 12 | MISS: A Generative Pretraining and Finetuning Approach for Med-VQA | 提出MISS框架以解决医疗视觉问答中的数据不足问题 | large language model multimodal |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits | 提出基于视频的自动化牛只跛行检测系统以解决动物健康监测问题 | locomotion |
🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge | 提出REACT 2024挑战以生成多样化人脸反应 | dyadic interaction multimodal | ✅ |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection | 提出双视角知识增强方法以解决半监督3D目标检测问题 | feature matching |