Research

Papers

Work on learned structure for graphics, vision, and generative world models. Links go to the paper, project page, and code when available.

Peer reviewed

Publications

Neural scene representations

SCION

Reusable neural primitives and lightweight instances for compact, editable 3D scenes.

William Koch, Amogh Joshi, Cyrus Vachha, Cheng Zheng, Felix Heide

HEIR method overview showing learned motion encoding, hierarchy sampling, and decodingNeurIPS 2025

Geometric learning

HEIR

Learning graph-based motion hierarchies directly from observed dynamics.

William Koch*, Cheng Zheng*, Baiang Li, Felix Heide

Preprints & theses

Earlier work