SAM 3D: 3Dfy Anything in Images 事件

SAM 3D: 3Dfy Anything in Images arXiv:2511.16624v2 Announce Type: replace Abstract: We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images, where occlusion and scene clutter are common and visual recognition cues from context play a larger role. We achieve this with a human- and model-in-the-loop pipeline for annotating object shape, texture, and pose, providing visually