Meta Platforms(US:META) 3 6 Ke·2025-11-20 10:04Core Insights - Meta has launched a new family of models called SAM 3D, which includes SAM 3D Objects for object and scene reconstruction and SAM 3D Body for human shape estimation [1][12] - The SAM 3D series allows users to extract 3D models from 2D images with high accuracy, enabling 360-degree rotation without noticeable flaws [1][11] - SAM 3 introduces a new feature called "promptable concept segmentation," enhancing the model's versatility in image segmentation tasks [1][19] SAM 3D Objects - SAM 3D Objects has achieved significant advancements in 3D object reconstruction, utilizing a data annotation engine that has labeled nearly one million images to generate over 3.14 million mesh models [7][9] - The model outperforms existing leading models in human preference tests with a 5:1 advantage, enabling near-real-time 3D applications [10][11] - SAM 3D Objects can reconstruct shapes, textures, and poses of objects, allowing users to manipulate the camera for different viewing angles [11][12] SAM 3D Body - SAM 3D Body focuses on human 3D reconstruction, accurately estimating human poses and shapes from single images, even in complex scenarios [12][13] - The model supports prompt inputs, allowing users to guide predictions through segmentation masks and key points, enhancing interactivity [12][13] - SAM 3D Body has been trained on approximately 8 million high-quality samples, ensuring robustness across diverse scenarios [13][16] SAM 3 Model Features - SAM 3 is a unified model capable of detecting, segmenting, and tracking objects based on text, example images, or visual prompts, significantly improving flexibility in segmentation tasks [18][19] - The model has shown a 100% improvement in concept segmentation performance on the SA-Co benchmark compared to previous models [19][20] - Meta has implemented a collaborative data engine involving both AI and human annotators to enhance data labeling efficiency and model performance [20][23] Conclusion - The rise of generative AI is transforming computer vision (CV) capabilities, expanding the boundaries of model training and data set creation [24] - Meta is actively applying these technologies in real business scenarios, suggesting that the SAM and SAM 3D series models may yield further innovations as data and user feedback accumulate [24]