SAM 3D: 3Dfy Anything in Images

Kari Jaaskelainen

21 Nov 2025 — 1 min read

What if a single photo could become a detailed 3D object—geometry, texture, and where it sits in the scene? Meet SAM 3D, a generative model for visually grounded 3D reconstruction in the wild.

One image in, 3D out: Rebuilds shape, texture, and layout from everyday photos with occlusion and clutter.
Data at scale: A human + model-in-the-loop pipeline annotates shape, texture, and pose at unprecedented scale.
Modern training: Synthetic pretraining + real-world alignment to break the 3D “data barrier.”
Proven results: Wins human preference tests by at least 5:1 on real objects and scenes.
Open resources: Code, model weights, online demo, and a new benchmark are coming.

Why it matters: Rich 3D from casual images unlocks better AR/VR, robotics perception, and content creation—without studio captures.

Paper: https://arxiv.org/abs/2511.16624v1

Paper: https://arxiv.org/abs/2511.16624v1

Register: https://www.AiFeta.com

#3D #3DReconstruction #AI #ComputerVision #GenerativeAI #AR #VR #Robotics #Graphics #MachineLearning

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