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Hugging Face
AI Model·2026
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Mirage

Henry Ndubuaku, Karen Mosoyan +5·Cactus Compute

Turns images into structured visual data—scene descriptions, objects, text, masks, and spatial relations—on local devices. Its quantized model is about 22 MB, targeting phones, wearables, and robots.

#vision#multimodal#ocr#segmentation#quantization+4
Hugging Face
AI Model·2026
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gemma-4-31B-it-ARA-heretic-GGUF

mradermacher, richardyoung

Provides GGUF quantizations of a refusal-ablated Gemma 4 31B instruction model, with options spanning file size and precision plus separate image-processing components.

#quantization#gemma#gguf#heretic#foundation-model+2
Computer Vision Papers·2026
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dNaViT: Discrete Codes are General-Purpose Visual Representations

Xiaotong Li, Zhengrong Yue +10·Meituan LongCat Team, Meituan

Encodes arbitrary-resolution images as discrete visual tokens for understanding, reconstruction, generation, and editing. Grouped product quantization expands code capacity without increasing the spatial token count.

#vision#quantization#multimodal#paper#evaluation+1
Hugging Face
AI Model·2026
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MiniMax-H3-Image

MiniMax

Combines text-to-image generation and reference-guided editing in one model, producing images around 16 megapixels and accepting up to 16 reference images.

#ai-image#image#vision#multimodal#diffusers+2
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