cs.CV（2025-05-28）

📊 共 8 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (3) 支柱三：空间感知与语义 (Perception & Semantics) (2 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱四：生成式动作 (Generative Motion) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization	提出多模态模型优化方法以解决复杂驾驶场景理解问题	distillation multimodal
2	CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation	提出CAST框架以解决半监督实例分割问题	distillation foundation model
3	InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective	提出InfoSAM以提升SAM在专业领域的表现	distillation foundation model

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

#	题目	一句话要点	标签	🔗	⭐
4	Diffusion-Denoised Hyperspectral Gaussian Splatting	提出扩散去噪的高光谱高斯点云方法以解决高光谱成像重建问题	3D gaussian splatting 3DGS gaussian splatting	✅
5	Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation	提出多级多提示熵最小化方法以解决开放词汇语义分割问题	open-vocabulary open vocabulary	✅

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
6	OSPO: Object-centric Self-improving Preference Optimization for Text-to-Image Generation	提出OSPO框架以解决文本到图像生成中的对象对齐问题	large language model multimodal
7	Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task	提出MultiStAR基准以解决抽象视觉推理评估问题	large language model multimodal

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
8	UniMoGen: Universal Motion Generation	提出UniMoGen以解决骨架依赖的运动生成问题	motion generation character animation

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