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NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 73 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 19 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 47 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 108
Collections
Discover the best community collections!
Collections including paper arxiv:2408.03326
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 43 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 33 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 26 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
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llava-hf/llava-onevision-qwen2-0.5b-si-hf
Image-Text-to-Text • Updated • 4.64k • 8 -
llava-hf/llava-onevision-qwen2-0.5b-ov-hf
Image-Text-to-Text • Updated • 1.6M • 24 -
llava-hf/llava-onevision-qwen2-7b-si-hf
Image-Text-to-Text • Updated • 1.78k • 6 -
llava-hf/llava-onevision-qwen2-7b-ov-hf
Image-Text-to-Text • Updated • 90.8k • 22