| 1 |
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension |
提出SEED-Bench-2-Plus以评估多模态大语言模型的文本丰富视觉理解能力 |
large language model multimodal |
✅ |
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| 2 |
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites |
提出InternVL 1.5以缩小开源与商业多模态模型的能力差距 |
large language model foundation model multimodal |
✅ |
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| 3 |
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs |
提出逐项列举方法以提升多模态大语言模型的视觉推理能力 |
large language model multimodal visual grounding |
✅ |
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| 4 |
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials |
提出Make-it-Real以解决3D对象材料真实感不足问题 |
large language model multimodal |
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| 5 |
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving |
提出ConsistentID以解决人脸生成中的身份一致性问题 |
multimodal |
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| 6 |
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis |
提出RadGenome-Chest CT以解决胸部CT分析数据集不足问题 |
large language model foundation model multimodal |
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| 7 |
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior |
提出多模态语义感知自动上色方法以解决灰度图像上色问题 |
multimodal |
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| 8 |
Multimodal Information Interaction for Medical Image Segmentation |
提出MicFormer以解决多模态特征融合问题 |
multimodal |
✅ |
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| 9 |
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models |
提出无提示语义分割方法以解决超声影像数据稀缺问题 |
foundation model |
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| 10 |
TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning |
提出TinyChart以解决资源受限环境下的图表理解问题 |
large language model multimodal |
✅ |
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| 11 |
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval |
提出基于CLIP的交互式图像检索系统以解决用户偏好差异问题 |
zero-shot transfer |
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| 12 |
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models |
提出TI2V-Zero以解决视频生成中的图像条件化问题 |
foundation model |
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