Papers

• Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation (2026)
  Zihan Su et al.
  1.94
• Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders (2026)
  Shang-Jui Ray Kuo et al.
  1.94
• Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos (2025)
  Haobo Yuan et al.
  1.28
• IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models (2025)
  Jiayi Lei et al.
  1.28
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding (2025)
  Tao Zhang et al.
  1.28
• UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation (2025)
  Linshan Wu et al.
  1.28
• Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency (2025)
  Adel Ammar et al.
  1.28
• ImgEdit: A Unified Image Editing Dataset and Benchmark (2025)
  Yang Ye et al.
  1.28
• Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO (2025)
  Muzhi Zhu et al.
  1.28
• un^2CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP (2025)
  Yinqi Li et al.
  1.28
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning (2025)
  Ye Liu et al.
  1.28
• Video models are zero-shot learners and reasoners (2025)
  Thaddäus Wiedemer et al.
  1.28
• Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation (2025)
  Su Ho Han et al.
  1.28
• RMT: Retentive Networks Meet Vision Transformers (2023)
  Qihang Fan et al.
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• SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding (2023)
  Haoxiang Wang et al.
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• Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model (2024)
  Lianghui Zhu et al.
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• Paint by Inpaint: Learning to Add Image Objects by Removing Them First (2024)
  Navve Wasserman et al.
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• Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models (2024)
  Yushi Hu et al.
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