cs.CV(2024-02-06)
📊 共 16 篇论文 | 🔗 8 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (5 🔗3)
支柱三:空间感知与语义 (Perception & Semantics) (5 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (3 🔗2)
支柱四:生成式动作 (Generative Motion) (1)
支柱一:机器人控制 (Robot Control) (1 🔗1)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models | 提出SHIELD基准以评估多模态大语言模型在面部欺诈检测中的表现 | large language model multimodal chain-of-thought | ||
| 2 | Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap | 提出多模态无监督领域泛化方法以解决标签空间不一致问题 | multimodal | ✅ | |
| 3 | Multimodal Rationales for Explainable Visual Question Answering | 提出MRVQA以解决视觉问答中的可解释性问题 | multimodal | ✅ | |
| 4 | EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters | 提出EVA-CLIP-18B以提升多模态模型性能 | foundation model multimodal | ||
| 5 | The Instinctive Bias: Spurious Images lead to Illusion in MLLMs | 提出CorrelationQA以解决多模态大语言模型的视觉幻觉问题 | large language model | ✅ |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction | 提出MoD-SLAM以解决无界3D场景重建问题 | depth estimation 3D reconstruction NeRF | ||
| 7 | Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos | 提出Rig3DGS以解决从单视角视频生成可控3D人像问题 | 3D gaussian splatting 3DGS gaussian splatting | ✅ | |
| 8 | YOLOPoint Joint Keypoint and Object Detection | 提出YOLOPoint以实现关键点与物体的联合检测 | visual odometry | ||
| 9 | EscherNet: A Generative Model for Scalable View Synthesis | 提出EscherNet以解决可扩展视图合成问题 | 3D reconstruction | ✅ | |
| 10 | Energy-based Domain-Adaptive Segmentation with Depth Guidance | 提出SMART框架以解决深度引导的无监督领域自适应分割问题 | depth estimation |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback | 提出基于AI反馈的强化学习方法以优化视频多模态模型 | reinforcement learning large language model multimodal | ||
| 12 | Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models | 提出弱到强的监督学习方法以提升视觉基础模型性能 | distillation large language model foundation model | ✅ | |
| 13 | U-shaped Vision Mamba for Single Image Dehazing | 提出U-shaped Vision Mamba以解决单幅图像去雾问题 | Mamba SSM | ✅ |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | Bidirectional Autoregressive Diffusion Model for Dance Generation | 提出双向自回归扩散模型以解决舞蹈生成问题 | motion generation human motion human motion generation |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning | 提出CogCoM以解决视觉语言模型中的推理不足问题 | manipulation | ✅ |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 16 | ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation | 提出ConsistI2V以解决图像到视频生成中的视觉一致性问题 | spatiotemporal |