Mohammad Asim — accepted AI-conference papers

2026

SceneTok: A Compressed, Diffusable Token Space for 3D Scenes

Mohammad Asim, Christopher Wewer, Jan Eric Lenssen

CVPR 2026

We present SceneTok, a novel tokenizer for encoding view sets of scenes into a compressed and diffusable set of unstructured tokens. Existing approaches for 3D scene representation and generation commonly use 3D data structures or view-aligned fields. In contrast, we introduce the first method that

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2025

MET3R: Measuring Multi-View Consistency in Generated Images

Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, Jan Eric Lenssen

CVPR 2025poster

We introduce MEt3R, a metric for multi-view consistency in generated images. Large-scale generative models for multi-view image generation are rapidly advancing the field of 3D inference from sparse observations. However, due to the nature of generative modeling, traditional reconstruction metrics a…

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